Anusha V — Data Engineer
Results-driven Senior Data & Analytics Engineer with 8 years of experience designing, automating, and optimizing cloud-native data platforms across AWS, Azure, and Databricks. Skilled in building scalable ETL/ELT pipelines, AI-ready data lake houses, and real-time streaming systems leveraging Glue, ADF, PySpark, Step Functions, and Kafka. Experienced in developing Python- and SQL-based data analytics solutions, geospatial intelligence (ArcGIS), and Power BI dashboards delivering actionable insights in financial, healthcare, insurance, and public-sector domains. Hands-on with ML flow, Sage Maker, and Feature Stores for model lifecycle automation, drift detection, and continuous monitoring. Adept at applying data governance, quality, and compliance frameworks (HIPAA, SOC 2, NIST 800-53) while enabling teams to operationalize analytics and AI at scale. Recognized for transforming fragmented datasets into governed, insight-driven, and production-ready data ecosystems that accelerate decision-making and innovation.
Stackforce AI infers this person is a Data Engineering expert in Fintech and Healthcare sectors.
Experience: 3 yrs 4 mos
Skills
- Data Engineering
- Cloud Data Platforms
Career Highlights
- Expert in building scalable ETL/ELT pipelines.
- Proficient in cloud-native data platforms across AWS and Azure.
- Skilled in transforming fragmented datasets into governed ecosystems.
Work Experience
Wells Fargo
Senior Data Engineer (1 yr 10 mos)
MSCI Inc.
Senior Data Engineer (1 yr 2 mos)
Merck
Data Engineer (3 yrs 4 mos)
HDFC ERGO General Insurance
Data Engineer (11 mos)