ETL Developer with Cloud Data Pipelines

Beemari Rohith

ETL Developer

*********@*****.*** +1-302-***-****

SUMMARY

ETL Developer with over 4 years of experience specializing in the design, development, and support of robust ETL pipelines and data ingestion processes. Proficient in optimizing SQL queries and developing scalable data transformation workflows to support complex business analytics. Hands-on experience with industry-standard ETL tools such as Informatica, SSIS, and cloud-native integration services. Skilled in Python scripting for process automation and infrastructure support within hybrid cloud environments. Demonstrated capability in ensuring data quality and accuracy through rigorous automated validation frameworks. Effective at collaborating with cross-functional technical and business teams to align data delivery with organizational requirements. Experienced in troubleshooting data bottlenecks and refactoring legacy systems to improve pipeline throughput and reliability. Committed to implementing secure, efficient, and scalable data architectures for mission-critical operations. Adept at maintaining system observability and enhancing data processing workflows to support operational efficiency. Focused on continuous process improvement and technical documentation to streamline long-term maintenance.

SKILLS

Programming: SQL, T-SQL, PL/SQL, Python

ETL & Data Integration: Informatica, SSIS, Talend, DataStage, ETL/ELT Frameworks

Data Warehousing: Snowflake, Amazon Redshift, PostgreSQL, SQL Server, MySQL

Cloud Platforms: AWS Glue, S3, Lambda, Azure Data Factory, Synapse, Databricks

Data Governance: Data Mapping, Data Quality Assurance, Validation, Master Data Management

Tooling & DevOps: Git, CI/CD Pipelines, Docker, Jenkins, CloudWatch

EXPERIENCE

ETL Developer AgFirst Dec 2024 – Till Date

•Developed end-to-end ETL pipelines for high-volume financial data ingestion across hybrid-cloud environments.

•Optimized complex SQL queries to enhance data extraction and reporting performance by 35%.

•Built automated data transformation workflows to ensure data integrity and consistency across multiple systems.

•Collaborated with business stakeholders to refine data mapping requirements and technical specifications for reporting.

•Improved data processing reliability by 40% through the implementation of rigorous automated validation logic.

•Integrated diverse data sources using Python scripting for seamless and secure data ingestion.

•Contributed to cloud-based data warehouse maintenance and ongoing performance tuning efforts.

•Streamlined troubleshooting processes for production ETL jobs, reducing system latency by 20%.

•Refactored legacy SQL scripts to increase pipeline throughput and reduce overall system overhead.

•Automated real-time data ingestion monitoring, achieving 99.9% uptime for core analytics pipelines.

ETL Developer Costco Feb 2024 – Nov 2024

•Designed and deployed scalable data ingestion layers for enterprise retail logistics systems.

•Developed modular ETL workflows, supporting large-scale data migration and synchronization initiatives.

•Optimized SQL database indexing strategies, reducing report query execution time by 30%.

•Collaborated on the integration of disparate data formats within enterprise storage solutions.

•Enhanced data governance frameworks, achieving a 25% increase in PII compliance accuracy.

•Built automated alerting systems to quickly identify and resolve data quality discrepancies.

•Implemented cloud-native transformation jobs to support downstream analytics and decision-making platforms.

•Contributed to the regular maintenance of ETL job scheduling and resource allocation management.

•Refactored data extraction code, reducing operational costs by 20% through improved compute utilization.

•Delivered comprehensive technical documentation for data pipeline architectures, improving team onboarding efficiency by 15%.

Data Engineer Healthkart Sep 2020 – Aug 2023

•Developed robust ETL pipelines using cloud-native tools to support high-volume business analytics.

•Optimized SQL queries for complex join operations, improving report generation speed by 25%.

•Implemented automated data validation checks to ensure accuracy in high-volume transactional logs.

•Collaborated with cross-functional teams to translate business requirements into efficient data schemas.

•Built data transformation scripts in Python to streamline and automate manual reporting tasks.

•Streamlined infrastructure monitoring, reducing incident response time by 20%.

•Integrated various third-party API data sources into the central data warehouse for unified reporting.

•Refactored existing data models to improve scalability for growing monthly transaction volumes.

•Delivered standardized documentation for ETL processes, increasing team throughput by 30%.

•Automated data quality alerts, reducing manual intervention requirements for pipeline maintenance by 40%.

EDUCATION

Wilmington University Masters

New Castle, DE - USA

St. Martin’s Engineering College Bachelor

INDIA

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