Case studies
Indeed - Data Engineering / Marketing Analytics
Built and optimized large-scale data pipelines for marketing, campaign attribution, and revenue analytics. Worked with Spark, Scala, Java, Python, Hive, Airflow, dbt, Dagster, Athena/S3, and Snowflake to process high-volume advertising data and improve analytics accessibility.
Key impact: migrated Python/Presto workloads to Scala/Spark, improving performance by 5x, and maintained 150+ dbt models for client attributes, Salesforce, and revenue analytics.
Big Data Pipelines · dbt · Spark · Attribution Analytics
QuickPivot - Cloud Data Engineering / AWS Modernization
Migrated a legacy Customer Data Platform to AWS cloud infrastructure. Designed scalable data integration pipelines using Python and Spark, orchestrated workflows with AWS Step Functions, and supported cloud-native processing with S3, EC2, Lambda, RDS, Redshift, and DynamoDB.
Focus: cloud migration, serverless architecture, data integration,and scalable customer data processing.
AWS Cloud Migration · Spark · Customer Data Platform
Globant - BI / Data Warehouse Modernization
Worked on enterprise BI and data warehouse modernization projects for financial and insurance clients. Re-engineered legacy ETL processes, migrated DTS packages to IBM DataStage, supported Oracle-based reporting systems, and delivered complex business reports using Pentaho tools.
Focus: ETL modernization, financial analytics, reporting platforms, and data warehouse operations.
Data Warehouse · ETL · BI · Financial Analytics
