Gijo Baby

Senior Data Engineer: Built scalable ETL pipelines (Azure Databricks, PySpark, Spark SQL) for data platforms. Designed Delta Lake/Lakehouse for analytics. Orchestrated Databricks jobs (batch/streaming), integrated with ADF, ADLS, Key Vault. Implemented Delta Live Tables (data quality) & Unity Catalog (governance, collaboration). Senior ETL Consultant: Designed scalable ETL pipelines (IBM DataStage , Snowflake, Netezza, SQL Server & Oracle). Automated deployments, performance tuning, job scheduling (Zena).

Designed and developed data warehouse solutions, translate business requirements into functional specifications using IBM Datastage, Teradata, Oracle, PL/SQL, Uniz Shell scripting, TWS. Optimized ETL architecture for improved performance and reliability. Tuned DataStage jobs and Teradata BTEQ to enhance system performance.

Leveraged DataStage, Netezza, SQL server, Unix Shell script tools to design, develop, test, and optimize data warehouse solutions and architecture. Developed reusable ETL components, automated DataStage deployments, and ensured efficient system recovery. Translate business requirements into functional specifications.

Gathered business requirements, conducted system analysis, and finalized technical specifications and high-level designs. Led data quality analysis, ETL mapping, design and development using Datastage, Netezza, PL/SQL, Unix shell scripts and supported testing phases, including SIT, UAT, and production deployment.

ETL development, from analysis and design to testing and deployment. Created technical documentations by ensuring business requirements and compliance.