Anusha V

Data Engineer

United States3 yrs 4 mos experience
Highly Stable

Key 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.
Stackforce AI infers this person is a Data Engineering expert in Fintech and Healthcare sectors.

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Skills

Core Skills

Data EngineeringCloud Data Platforms

Other Skills

AWS GlueAmazon QuickSightApache IcebergAzure Data Factory (ADF)Azure Data Lake Gen2Azure DevOps CI/CDBalsamiqCloud SecurityCloudwatchConfluenceContinuous Integration and Continuous Delivery (CI/CD)Data ArchitectsData CatalogingDatabricks PySparkDatadog

About

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.

Experience

Wells fargo

Senior Data Engineer

May 2024Present · 1 yr 10 mos

Msci inc.

Senior Data Engineer

Mar 2023May 2024 · 1 yr 2 mos

  • Architected and implemented a cloud-based financial data platform to consolidate market, reference, ESG, and risk data from internal and external vendors including Bloomberg, Refinitiv, and MSCI Barra into Azure Data Lake Gen2 and Snowflake.
  • Designed data ingestion frameworks in Azure Data Factory (ADF) and Databricks PySpark to automate multi-source integration with near real-time data availability for portfolio analytics and investment risk teams.
  • Engineered parameterized and reusable ETL pipelines for ingesting large-scale market data feeds, ensuring schema alignment, and version control through GitHub and Azure DevOps CI/CD pipelines.
Azure Data Lake Gen2SnowflakeAzure Data Factory (ADF)Databricks PySparkETL pipelinesGitHub+3

Merck

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Apr 2019Aug 2022 · 3 yrs 4 mos

Hdfc ergo general insurance

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May 2018Apr 2019 · 11 mos

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