Anitha C

I'm a data engineer with 4+ years of recent experience building cloud pipelines and analytical datasets in financial services and healthcare. My work combines SQL, Python, ETL/ELT and data quality to deliver reliable reporting and analytics.

Data Engineer - PayPal

(2024-06)

• Designed ETL/ELT pipelines to ingest payment, account and financial data from databases, APIs and applications into AWS platforms.
• Developed Python and PySpark transformations in AWS Glue to cleanse, deduplicate and standardize financial data.
• Built and optimized SQL transformations and analytical models in Amazon Redshift for monitoring, reconciliation and reporting.
• Developed reusable dbt models and orchestrated batch and incremental workflows with Apache Airflow.
• Implemented data-quality checks and collaborated with engineering, risk and business teams to resolve discrepancies.

Data Engineer - Cardinal Health

(2022-08 - 2024-05)

• Built ETL pipelines with Azure Data Factory and SSIS to integrate healthcare supply chain data from enterprise systems.
• Developed and optimized T-SQL queries, stored procedures and views for analytics-ready SQL Server datasets.
• Supported migration to Azure Synapse Analytics through schema validation, transformation and reconciliation.
• Automated data cleansing and reconciliation with Python and implemented incremental data loads.
• Built Power BI dashboards and partnered with stakeholders to define requirements and standardize KPIs.

Bachelor of Technology (B.Tech) - Computer Science - Jawaharlal Nehru Technological University, Kakinada (2017)