Madishetty Manasa

Data Engineer @DIRECTV

Chicago, IL, US

Design, develop, and maintain scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using tools such as Apache Spark, Databricks, Airflow, Azure Data Factory, and AWS Glue.Build and optimize cloud data warehouse solutions in Snowflake, Redshift, BigQuery, or Synapse for analytics, reporting, and downstream ML workflows.Develop and support Oracle Fusion HCM and ERP integrations using Oracle Integration Cloud (OIC), REST/SOAP APIs, BI Publisher, and HCM Extracts.Configure and support Oracle HCM modules including Talent Management, Benefits, Core HR, Payroll, and Absence, ensuring compliance and operational efficiency.Perform data migration from on-premise and legacy systems to cloud platforms using HDL, FBDI, SQL*Loader, and custom migration scripts.Write and optimize complex SQL and PL/SQL queries, stored procedures, and packages for data processing, validation, and reporting.Implement automation scripts in Python, Shell, or Scala to streamline data ingestion, transformation, and quality checks.Apply data governance best practices, including RBAC, encryption, audit logging, and compliance controls for sensitive HR and enterprise data.Conduct regression testing, UAT, and performance tuning for Oracle quarterly upgrades, data pipelines, and integrations.Collaborate with cross-functional teams (HR, Finance, Data Analytics, IT) to gather requirements, document technical solutions, and deliver high-quality system enhancements.

Vignan Institute of Technology and Science

Bachelor's degree, Computer Science

University of Illinois Springfield

Master of Science - MS, Computer Science