
Data Engineer
Cognizant Technology Solutions · Nov 2024 – Present
- Developed and maintained data pipelines using Python for efficient data processing and transformation.
- Worked extensively with MySQL to design, create, and optimize tables and views based on business requirements.
- Implemented data ingestion pipelines to extract and load data from multiple sources into the data platform.
- Contributed to data curation processes, ensuring data quality, consistency, and readiness for downstream analytics.
- Deployed and managed applications using Azure Container Services, improving scalability and portability of solutions.
- Utilized the Hadoop ecosystem for handling large-scale data processing and distributed storage.
- Designed and developed SQL queries, stored procedures, and views to support reporting and data analysis needs.
- Collaborated with cross-functional teams to understand requirements and deliver data-driven solutions.
- Used Git for version control, code management, and collaborative development workflows.
- Performed data validation and troubleshooting to ensure accuracy and reliability of ingested and curated data.
- Automated repetitive data processing tasks using Python scripts.


