ETL Developer Resume Example

Professional Summary

ETL developer with 5 years building robust data integration pipelines connecting enterprise systems to data warehouses and lakes. Expert in Informatica, SSIS, and cloud-native ETL tools with a focus on data quality, error handling, and pipeline monitoring.

Key Skills

What to Include on a ETL Developer Resume

• A concise summary that states your etl developer experience level, strongest domain, and the business problems you solve.
• A skills section that mirrors the job description language for Informatica PowerCenter, SSIS, SQL, Python.
• Experience bullets that connect ETL developer, data integration, data pipeline to measurable outcomes such as cost savings, faster delivery, better quality, or improved customer results.
• Tools, platforms, certifications, and methods that are current for data & analytics roles.
• Recent projects that show ownership, cross-functional work, and a clear result instead of generic responsibilities.

Sample Experience Bullets

• Built 100+ ETL workflows in Informatica PowerCenter that process 50M+ records daily from ERP, CRM, and third-party API sources into Snowflake, with comprehensive error handling, data validation, and automated retry logic for transient failures. Pipeline reliability stays above 99.5%
• Reduced the nightly batch processing window from 8 hours to 2 hours by converting sequential workflows to parallel execution, switching large tables from full refreshes to incremental loads based on change timestamps, and tuning slow transformation queries. The improvement freed up compute capacity for daytime analytical workloads
• Set up a data quality framework with 300+ validation rules covering null checks, referential integrity, business rule compliance, and cross-source consistency checks that run after every load. The framework catches 99.8% of data issues before they reach the warehouse
• Migrated 150 legacy SSIS packages to AWS Glue with PySpark transformations, decommissioning the on-premise ETL server infrastructure and reducing maintenance overhead by about 60%. Each migration included parallel running and automated row-count reconciliation
• Built a change data capture pipeline using Debezium and Kafka that streams database changes in near real-time from 5 transactional PostgreSQL databases to the analytics warehouse. Reporting latency dropped from 24 hours to under 5 minutes for critical business metrics
• Monitored all ETL jobs in Control-M with custom alerting rules that distinguish between transient failures that resolve on retry and genuine issues that need investigation. Handled about 5-10 failure investigations per week with documented root causes and resolution steps
• Worked with source system teams to understand upcoming schema changes and data model modifications before they broke downstream pipelines, maintaining a change notification process that gives the ETL team at least 2 weeks of lead time for adjustments
• Wrote SQL transformations for data cleansing, deduplication, standardization, and business logic application that run as part of the load process, handling edge cases like duplicate records, format inconsistencies, and null value imputation based on business rules
• Maintained comprehensive documentation for all data flows including source-to-target mappings, transformation logic descriptions, scheduling dependencies, and contact information for source system owners. The documentation is reviewed and updated with every pipeline change
• Built a reconciliation framework that compares record counts, checksums, and key business metric totals between source systems and the warehouse after every load cycle. The framework catches data loss or duplication issues within the same processing window they occur
• Implemented a metadata-driven ETL pattern where new source tables can be onboarded by adding configuration entries rather than writing new code, reducing the time to add a new data source from 2 weeks of development to about 2 hours of configuration. The pattern covers 70% of standard ingestion use cases

ATS Keywords for ETL Developer Resumes

Use these terms naturally where they match your experience and the job description.

Recommended Certifications

• Informatica Certified Professional
• AWS Certified Data Analytics - Specialty

What Does a ETL Developer Do?

• Design, develop, and maintain software solutions using Informatica PowerCenter, SSIS, SQL and related technologies
• Collaborate with cross-functional teams including product managers, designers, and QA engineers to deliver features on schedule
• Write clean, well-tested code following industry best practices for ETL developer and data integration
• Participate in code reviews, technical discussions, and architecture decisions to improve system quality and team knowledge
• Troubleshoot production issues, optimize performance, and ensure system reliability across all environments

Resume Tips for ETL Developers