Looking for a job

Saiteja Challa

@saitejachalla

Data Engineer at COTIVITI who cut Sqoop data import time by 75% for healthcare pipelines.

At COTIVITI, I develop healthcare ETL pipelines that move Oracle data into partitioned HDFS datasets exposed through Hive. I cut import time from three hours to 45 minutes by implementing parallel Sqoop ingestion.

I built a unified, BI-ready dataset combining CRM data with Excel-driven benchmark, fee-rate, and addressability references. It integrates 35+ solutions for Sales & Marketing reporting, and Excel-based business-rule edits cut new-table delivery from hours to minutes.

Previously, at Infosys, I developed metadata-driven PySpark ETL pipelines in Databricks to move Oracle datasets into AWS S3 and Delta Lake. At Cigniti Technologies, I automated daily data validation checks between GCP bucket files and the Nucleus database.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Cotiviti

Oct 2024 - Present (2 years 1 month)

Developed ETL pipelines using Sqoop, PySpark, and SQL to extract data from Oracle into HDFS and Hive. Cut data import time by 75% and automated data quality checks with Airflow.

Engineer

Cigniti Technologies

Jan 2024 - May 2024 (4 months)

Automated daily validation checks for file completeness, record counts, and data consistency between GCP bucket files and the Nucleus database. Developed SQL-based validation queries and Python automation to reduce manual data-quality verification effort.

SQL Python Data Validation Data Quality GCP Automation

Data Engineer

Infosys

Jul 2021 - Feb 2023 (1 year 7 months)

Developed metadata-driven PySpark ETL pipelines in Databricks to ingest data from Oracle into AWS S3 and Delta Lake. Implemented data quality processes and designed a layered data architecture using Star Schema.