AB INITIO DEVELOPER RESUME EXAMPLE

• Developed Ab Initio ETL pipelines processing 2TB+ financial data daily, improving data ingestion efficiency by 20% across reporting systems
• Collaborated with analysts to translate business requirements into ETL workflows, reducing requirement gaps by 15%
• Executed unit and integration testing, achieving 98% defect-free code before deployment
• Supported production issues and resolved ETL failures within SLA timelines, reducing downtime by 25%

• Assisted in building ETL processes using Ab Initio and SQL, improving data accuracy by 18%
• Created technical documentation and test cases, enhancing onboarding efficiency by 20%
• Participated in UAT testing cycles, identifying defects early and reducing post-release issues by 15%

Brandon Mitchell

Charlotte, NC

(704) 558-2193

brandon.mitchell.tech@outlook.com

linkedin.com/in/brandon-mitchell-data

SUMMARY:

Results-driven Ab Initio Developer with 4+ years of experience in Data Integration, ETL Development, and Data Modeling within Banking and Financial Services. Proven record of reducing processing time by 30% through optimized ETL frameworks. Expertise in Ab Initio and Teradata SQL to optimize data pipelines, mitigate processing risks, and drive scalable analytics solutions.

SKILLS:

Ab Initio

Data Integration

ETL Development

Teradata SQL

Control-M Scheduler

Data Modeling

EXPERIENCE:

Ab Initio Developer

Carolina Data Systems, Charlotte, NC

March 2022 – Present

• Engineered ETL pipelines using Ab Initio, processing 4TB+ daily data, and improving pipeline performance by 30%
• Optimized Delta Lake and Teradata workloads, reducing query latency by 25% through tuning and indexing strategies
• Automated job scheduling using Control-M, increasing workflow reliability by 35%
• Collaborated with cross-functional teams to deliver scalable data solutions, improving data availability for analytics by 20%

ETL Developer

TriAxis Data Solutions, Raleigh, NC

June 2020 – February 2022

• Developed Ab Initio graphs and scripts for financial data integration, reducing manual processing by 40%
• Performed data mapping and gap analysis, improving data accuracy by 22% across systems
• Conducted code reviews and enforced standards, reducing defect rates by 18%
• Supported UAT and production deployments, ensuring 99% on-time release delivery

EDUCATION:

Bachelor of Science in Information Systems

North Carolina State University

Jonathan A. Reynolds

New York, NY

(917) 642-7785

jonathan.reynolds.data@protonmail.com

linkedin.com/in/jonathan-a-reynolds

PROFESSIONAL SUMMARY:

Results-driven Ab Initio Developer with 9+ years of experience in Data Architecture, ETL Development, and Big Data Platforms within Financial Services. Proven record of increasing data processing efficiency by 40% across enterprise systems. Expertise in Ab Initio and PySpark to optimize large-scale data pipelines, mitigate performance risks, and drive strategic analytics and data governance outcomes.

CORE SKILLS:

Ab Initio

Data Architecture

ETL Development

Big Data

Data Governance

Performance Tuning

EXPERIENCE:

Lead Ab Initio Developer

MetroData Technologies, New York, NY

January 2020 – Present

• Architected enterprise data warehouse and data lake solutions, integrating 20+ data sources, improving analytics performance by 40%
• Led ETL strategy using Ab Initio and PySpark, processing 5TB+ daily data with 99.9% system reliability
• Implemented data quality and lineage frameworks, reducing data inconsistencies by 35%
• Mentored cross-regional teams and improved delivery efficiency by 30% through best practices and reusable frameworks
• Directed performance tuning initiatives, reducing processing time by 25% across distributed systems

Senior ETL Developer

Hudson Analytics Group, Jersey City, NJ

May 2016 – December 2019

• Designed and developed Ab Initio ETL pipelines integrating structured and unstructured data, improving data availability by 28%
• Built scalable data models across Teradata, Hive, and AWS platforms, enhancing system performance by 32%
• Led architecture reviews and enforced standards, reducing production defects by 20%
• Coordinated UAT and production releases, achieving 99% SLA compliance across deployments

EDUCATION:

Master of Science in Data Engineering

Columbia University

• Engineered scalable Big Data pipelines using Apache Spark and Scala within Databricks, processing over 5TB of daily data to support enterprise analytics and reporting requirements.
• Optimized Delta Lake tables for CDC workloads, reducing data latency by 35% through partitioning strategies, indexing, and efficient merge operations across distributed environments.
• Developed reusable data processing frameworks integrating multiple ETL sources, improving pipeline efficiency by 40% while ensuring consistency across on-premise and cloud-based systems.
• Maintained and enhanced Databricks Notebooks, resolving performance bottlenecks and decreasing execution time by up to 50% through code refactoring and resource tuning.
• Leveraged knowledge of the Hadoop ecosystem and MapReduce to troubleshoot distributed processing issues, ensuring reliable data ingestion and transformation across diverse enterprise data sources.
• Collaborated with cross-functional teams to integrate Ab Initio-based data workflows, strengthening metadata management practices and improving data lineage visibility for governance and compliance.

Core Skills:

• Apache Spark
• Scala Programming
• Databricks Platform
• Delta Lake
• Hadoop Ecosystem
• ETL Processing

• Coordinated with developers and practice leads to monitor delivery timelines, resolve blockers, and maintain budget adherence across multiple concurrent data engineering and analytics initiatives.
• Planned weekly job cards outlining deliverables and priorities, improving sprint execution efficiency by 25% while ensuring alignment with project milestones and stakeholder expectations.
• Led code development activities, enforcing version control and data integrity standards, resulting in 100% traceability and reduced risk of data loss across production pipelines.
• Designed analytics tools leveraging data pipelines to generate actionable insights, increasing customer acquisition efficiency by 20% and improving operational performance visibility.
• Optimized server resource utilization through profiling and tuning, reducing processing costs by 30% and enhancing the performance of distributed data workloads across environments.
• Managed database operations, including backup, recovery, and migration, while implementing technology changes, ensuring system reliability and minimizing downtime during critical deployment cycles.

Core Skills:

• Data Engineering
• Apache Spark
• Database Management
• ETL Development
• Performance Tuning
• Data Analytics

• Designed and supported Risk and Regulatory data platforms, delivering scalable solutions that processed over 4TB of daily data while ensuring compliance with enterprise governance and reporting standards.
• Collaborated with data analysts, modelers, and source system teams to translate complex business requirements into robust data architectures, improving solution scalability and integration efficiency by 30%.
• Analyzed source data and performed detailed gap assessments with source-to-target mappings, reducing data inconsistencies by 25% and enhancing accuracy across downstream reporting systems.
• Implemented distributed data processing frameworks using modern big data technologies, increasing processing throughput by 40% while maintaining high availability and system resilience.
• Evaluated system architectures and enforced performance, security, and reliability standards, enabling seamless deployments across DEV, SIT, UAT, and Production environments with minimal defects.
• Architected end-to-end Business Intelligence and data lake solutions, optimizing large-scale data processing workloads and improving reporting performance by 35% for enterprise stakeholders.

Core Skills:

• Data Architecture
• Data Modeling
• ETL Design
• Big Data
• Data Lake
• BI Development

• Developed and maintained data quality measures within Ab Initio environments, detecting anomalies across 3TB+ datasets daily and improving data reliability for enterprise reporting and regulatory compliance.
• Established a robust Ab Initio-based data quality framework supporting statistical, technical, and enrichment audits, increasing issue detection coverage by 40% across critical data pipelines.
• Collaborated with BI and Data Integrity teams to define reconciliation rules, translating business requirements into automated audit checks that reduced data discrepancies by 30%.
• Engineered data marts using dimensional modeling and Teradata SQL, enhancing query performance by 35% and enabling faster access to curated datasets for analytics teams.
• Implemented custom data validation processes using Ab Initio GDE, Metadata Portal, and Express IT templates, ensuring scalable rule-based checks and consistent metadata governance.
• Automated data quality job flows using UNIX shell and scheduling tools like Tidal, improving operational efficiency by 25% while ensuring reliable execution across production environments.

Core Skills:

• Ab Initio
• Data Quality
• Teradata SQL
• Data Modeling
• Unix Scripting
• ETL Development

• Designed and implemented an HR data warehouse and MI solution using Ab Initio, SQL, and data modeling, integrating 12+ source systems into governed reporting structures.
• Collaborated with business owners, analysts, and architects to convert functional requirements into technical specifications, accelerating build readiness and support handover across 3 delivery streams.
• Estimated development effort, designed MS SQL Server subject areas, and produced supporting applications that improved HR MI&A data availability by 30% for downstream users.
• Engineered end-to-end Ab Initio ETL pipelines from diverse source platforms into SQL databases, delivering tested code with full traceability through unit, integration, regression, and system validation.
• Coordinated onshore and offshore developers, conducted peer reviews, and strengthened delivery quality by resolving defects early, contributing to a 25% reduction in rework.
• Sustained production stability through Tier-3 support, release readiness, and database performance oversight, maintaining security, availability, and timely resolution of complex technical issues.

Core Skills:

• Ab Initio
• MS SQL
• Data Modeling
• ETL Development
• Database Performance
• Production Support

• Led requirement gathering, effort estimation, and project planning activities, ensuring alignment with stakeholder expectations and improving delivery predictability across multiple Ab Initio ETL initiatives.
• Specialized in Ab Initio ETL and database technologies, delivering optimized data processing solutions that improved pipeline performance by 35% and supported complex enterprise data integration needs.
• Enhanced existing Ab Initio graphs and wrapper scripts for JIRA-driven enhancements, reducing defect rates by 20% and accelerating turnaround time for small to medium change requests.
• Executed independent technical analysis to proactively identify risks and resolve issues, ensuring timely project delivery while maintaining high standards of reliability and system stability.
• Conducted comprehensive code and test case reviews, enforcing development standards and version control practices that increased code quality compliance to 100% across releases.
• Coordinated cross-regional teams during User Acceptance Testing phases, streamlining validation cycles and improving deployment readiness through effective collaboration and communication.

Core Skills:

• Ab Initio
• ETL Development
• Data Integration
• Code Review
• Version Control
• UAT Coordination

• Architected enterprise data warehouse and data lake solutions integrating Customer, Claims, and Benefits data, consolidating 20+ sources into unified platforms, enabling strategic analytics and reporting.
• Developed high-quality ETL pipelines using Ab Initio, BTEQ, and PySpark, processing structured and unstructured data with 99.9% reliability across Teradata, Hive, and AWS environments.
• Engineered scalable data models across HDFS, S3, and RDS, improving data accessibility by 40% while ensuring consistency and governance across distributed enterprise systems.
• Advised functional leaders on data architecture strategies, leveraging deep expertise to influence design decisions and enhance performance, security, and scalability of information management solutions.
• Evaluated and optimized enterprise data processing frameworks, increasing throughput by 35% through performance tuning, resource optimization, and adherence to engineering best practices.
• Championed thought leadership in information management initiatives, driving innovation and guiding cross-functional teams in delivering high-impact analytics capabilities across the organization.

Core Skills:

• Ab Initio
• PySpark Development
• Data Architecture
• Teradata SQL
• AWS Data
• Data Modeling

• Directed end-to-end project architecture, authoring functional and technical design specifications that improved scalability, data flow integrity, and system performance across complex enterprise data platforms.
• Led cross-functional teams and managed client interactions, ensuring alignment with business objectives while delivering high-quality solutions within agreed timelines and stakeholder expectations.
• Operated effectively within onsite-offshore delivery models, enhancing collaboration efficiency by 30% through structured communication, coordination, and clear task ownership across distributed teams.
• Produced comprehensive documentation, including design, unit testing, and handover artifacts, strengthening knowledge transfer and reducing onboarding time for new team members by 25%.
• Applied strong analytical and problem-solving skills to evaluate system requirements, improving solution accuracy and ensuring reliable integration of Ab Initio BRE and ACE configurations where applicable.
• Championed end-to-end ownership of delivery processes, proactively managing remote teams and ensuring seamless execution, quality assurance, and successful deployment of enterprise data solutions.

Core Skills:

• Ab Initio BRE
• Data Architecture
• System Design
• Team Leadership
• Technical Documentation
• Data Integration

• Analyzed complex data engineering challenges by decomposing problems into actionable components, enabling faster resolution and improving solution turnaround time by 30% across critical project deliverables.
• Identified root causes versus symptoms in data pipeline failures, reducing recurring issues by 25% through targeted fixes and improved diagnostic approaches within Ab Initio environments.
• Collaborated with cross-functional teams to resolve high-impact technical issues, ensuring timely delivery while optimizing resource utilization across distributed project teams.
• Evaluated alternative solutions and associated risks before implementation, enhancing decision accuracy and minimizing production defects by 20% in enterprise data processing systems.
• Applied structured decision-making frameworks to address business requirements, aligning technical solutions with organizational objectives and improving stakeholder satisfaction across multiple initiatives.
• Optimized available tools, processes, and resources to deliver scalable data solutions, ensuring efficiency, reliability, and adherence to enterprise standards and governance practices.

Core Skills:

• Problem Solving
• Root Cause
• Decision Analysis
• Resource Optimization
• Data Engineering
• Process Improvement

• Authored system and functional requirement documents, translating business needs into technical specifications that improved ETL development clarity and reduced rework by 20% across data warehouse projects.
• Designed high-level conceptual data processing architectures, enabling analysts to develop ETL pipelines using Ab Initio, Talend, and DataStage with improved scalability and maintainability.
• Engineered ETL solutions across multiple tools and platforms, processing large-scale datasets while meeting strict delivery timelines and achieving 99% defect-free code through rigorous testing practices.
• Reviewed data models and specifications to construct reusable ETL frameworks, increasing development efficiency by 30% and ensuring consistency across enterprise data integration processes.
• Implemented automated job scheduling using Control-M and similar tools, enhancing workflow reliability and reducing manual intervention by 40% in batch processing operations.
• Contributed to end-to-end data warehouse architecture, ensuring compliance with SDLC standards, conducting peer reviews, and strengthening auditability and performance across production deployments.

Core Skills:

• ETL Development
• Ab Initio
• DataStage ETL
• Talend ETL
• Control-M Scheduler
• Data Modeling

• Architected enterprise data warehouse solutions leveraging Ab Initio, designing scalable ETL frameworks that integrated diverse data sources and improved data processing efficiency by 40%.
• Directed end-to-end ETL lifecycle, including extraction, transformation, and loading processes, ensuring robust system performance and achieving 99.9% data accuracy across large-scale enterprise environments.
• Designed OLAP data models using star and snowflake schemas, enhancing analytical query performance by 35% and enabling efficient reporting for business intelligence applications.
• Evaluated and tested ETL architectures to ensure system stability, proactively identifying performance bottlenecks and optimizing workflows to reduce processing time by 30%.
• Advised stakeholders on data strategy and modeling approaches, aligning technical solutions with business objectives while demonstrating strong analytical thinking and effective communication across teams.
• Championed continuous learning and professional development initiatives, driving adoption of best practices and certifications to strengthen technical expertise and leadership capabilities within the team.

Core Skills:

• Ab Initio
• ETL Architecture
• Data Modeling
• OLAP Design
• Data Warehousing
• Performance Tuning

• Developed and enhanced Ab Initio-based data applications, processing high-volume datasets into Oracle and Teradata systems, improving data load efficiency by 30% across enterprise pipelines.
• Collaborated with business stakeholders to gather requirements and produce functional and technical specifications, ensuring alignment between business needs and scalable ETL solution design.
• Engineered and unit tested ETL code using Unix, Linux, and Control-M, achieving 99% defect-free delivery while adhering to enterprise coding standards and best practices.
• Participated in system integration and UAT cycles, identifying defects early and reducing post-deployment issues by 25% through rigorous validation and testing processes.
• Implemented production-ready code and provided support for job failures, ensuring recovery within SLA timelines and maintaining high availability of critical data processing systems.
• Delivered high-quality documentation and code for new projects and enhancements, consistently meeting deadlines and maintaining zero-defect standards across multiple release cycles.

Core Skills:

• Ab Initio
• ETL Development
• Unix Scripting
• Oracle Database
• Teradata SQL
• Control-M Scheduler

• Defined data and analytics strategy roadmaps, aligning architecture initiatives with enterprise objectives and enabling scalable platforms supporting millions of customer transactions and analytical workloads.
• Advised stakeholders and project sponsors on technical direction, influencing solution adoption and ensuring alignment with standardized IT services, improving cross-team delivery consistency by 30%.
• Architected and implemented Ab Initio-based data quality, reconciliation, and lineage solutions, enhancing data governance and reducing data inconsistencies by 35% across critical systems.
• Directed application design and provided technical leadership on complex coding and issue resolution, accelerating project execution and improving delivery timelines by 25% across multiple programs.
• Engineered reusable frameworks and scheduling workflows using Control-M and Autosys, increasing development efficiency by 40% and ensuring consistent execution across enterprise data pipelines.
• Collaborated with testing and support teams to deliver L3 support and ensure KPI adherence, maintaining high service reliability and achieving 99.9% SLA compliance across production environments.

Core Skills:

• Ab Initio
• Data Architecture
• Data Quality
• ETL Frameworks
• Control-M Scheduler
• Data Governance

• Designed high-quality ETL deliverables aligned with business requirements and design standards, improving solution consistency and reducing rework by 20% across enterprise data warehouse projects.
• Developed Ab Initio ETL code using GDE and Linux environments, building scalable graphs, PSETs, DML, and XFR components to process large-scale distributed data efficiently.
• Executed end-to-end testing in coordination with UAT teams, ensuring production readiness and achieving 99% defect-free deployments across multiple release cycles.
• Implemented unit testing frameworks with JUnit, increasing code coverage compliance to 95% and enhancing the reliability of ETL components in production environments.
• Led and mentored geographically distributed development teams, conducting code reviews and improving overall code quality and delivery efficiency by 30%.
• Integrated data solutions across diverse platforms, including Hive, HBase, Azure SQL, Teradata, and Oracle, ensuring seamless interoperability and robust enterprise data architecture.

Core Skills:

• Ab Initio
• ETL Development
• Data Warehousing
• JUnit Testing
• Control Center
• Data Integration

• Engineered data integration pipelines ingesting financial and ledger data into enterprise data lakes, processing over 4TB daily, and improving data availability for analytics and regulatory reporting.
• Developed advanced ETL processes using Ab Initio to validate, enrich, and persist data, increasing data accuracy by 30% across critical banking datasets.
• Collaborated with architecture teams and business users to translate requirements into technical designs, delivering scalable solutions aligned with modern SDLC and cloud-based practices.
• Implemented modern data solutions leveraging cloud and container technologies, enhancing system scalability and reducing deployment time by 25% across evolving application environments.
• Designed logical and physical data models alongside ETL mappings, improving data flow efficiency and enabling seamless integration across multiple enterprise systems.
• Established technical standards, documentation, and reporting processes, ensuring governance compliance while providing clear project updates to leadership and stakeholders.

Core Skills:

• Ab Initio
• ETL Development
• Data Modeling
• Data Integration
• Cloud Platforms
• Data Lake

• Architected and developed complex ETL components for strategic data warehouse projects, collaborating with onshore and offshore teams to deliver scalable solutions processing multi-source enterprise data.
• Produced high-level and detailed design artifacts, including test plans and specifications, ensuring consistent implementation of Ab Initio ETL solutions aligned with enterprise standards and best practices.
• Acted as subject matter expert in data analysis and pipeline design, identifying optimization opportunities that improved data processing efficiency by 30% across critical workflows.
• Led and mentored ETL developers and analysts, allocating tasks and enhancing team productivity by 25% while ensuring adherence to coding standards and architectural frameworks.
• Collaborated with global stakeholders and cross-functional teams to translate business requirements into technical solutions, delivering high-quality code with strong performance and reliability.
• Ensured accountability for ETL deliverables through hands-on Agile development, implementing point-to-point data integration, and maintaining consistency across batch and continuous data processing flows.

Core Skills:

• Ab Initio
• ETL Development
• Data Integration
• Data Warehousing
• Agile Development
• Data Pipeline

• Engineered Ab Initio-based data solutions for credit card platforms, developing critical features and processing high-volume consumer data to support scalable, secure, and high-performance applications.
• Designed and implemented ETL architectures, including data staging and integration with internal and external systems, improving data flow efficiency by 35% across enterprise services.
• Championed engineering best practices in security, quality, and operational excellence, reducing production defects by 25% and ensuring consistent standards across development teams.
• Optimized application performance through code tuning and troubleshooting, decreasing processing time by 30% while maintaining reliability in production environments with second-line support.
• Collaborated with stakeholders and product teams to translate business goals into technical solutions, supporting testing, validation, and ensuring successful deployment across delivery pipelines.
• Led ETL strategy execution and continuous innovation initiatives, researching new tools and methodologies to enhance system capabilities and improve overall delivery efficiency by 20%.

Core Skills:

• Ab Initio
• ETL Development
• Data Integration
• Performance Tuning
• Data Architecture
• Production Support