SUNITA MARINGANTI
San Ramon
Summary
Results-driven Data Engineer with 15+ years of experience in data engineering, analytics, and AI/LLM integration across banking and healthcare. Expert in building scalable, secure data pipelines using SQL, Python, Snowflake, and Azure. Proven track record of delivering high-impact projects and optimizing data workflows. Strong in stakeholder management and translating business needs into data-driven solutions
Overview
16
16
years of professional experience
1
1
Certification
Work History
Lead Data Engineer| Program Manager
Microsoft
Redmond
12.2024 - 07.2025
- Project: Network Hydration (Supply Chain). Improve the classification and data quality of network parts and assemblies.
- Developed governed data pipelines using Microsoft Fabric, ensuring secure, reliable processing across domains.
- Built a metadata-driven framework to classify and enrich parts data, scaling from flat components to BOM-based assemblies.
- Defined data governance standards including lineage, access control, and compliance.
- Developed aging metrics for ECOs and ADO items, enabling proactive management through automated SLA breach alerts.
- Created Power BI dashboards for tracking SLAs, KPIs, and burndown metrics, enhancing visibility and reporting accuracy.
- Integrated Product Data Management (PDM) systems to manage product design, version control, and BOM, improving collaboration and data accuracy.
- Partnered with offshore teams to convert business requirements into scalable reporting solutions.
- Documented processes to enhance reusability and facilitate onboarding, ensuring long-term maintenance efficiency.
Data Engineer Lead
Wells Fargo
San Leandro
04.2014 - 11.2024
- Project: Data Distribution Hub (iHub) - A data distribution platform delivering real-time, consolidated data to downstream systems.
- Managed global team of 10+ engineers across multiple time zones, enhancing collaboration and project delivery.
- Established data pipelines ensuring 94% accuracy and compliance, supporting reliable decision-making.
- Led project estimation, budgeting, and planning across multiple streams, aligning resources with strategic goals.
- Integrated AI and ML models for data anomaly detection and predictive analytics.
- Developed AI-driven data controls to track movement and trends, increasing revenue by 15%.
- Designed a metadata-driven development framework automating Informatica mappings.
- Implemented robust data security protocols for regulatory adherence.
Senior Data Engineer
Kaiser Permanente
Pleasanton
02.2013 - 03.2014
- Project: Fraud, Waste, Abuse & Compliance Business Intelligence (FWACBI) - A system identifying and preventing fraud using internal/external data sources.
- Designed scalable data pipelines for analyzing large healthcare datasets.
- Integrated machine learning models to enhance fraud detection accuracy and risk assessment.
- Developed a predictive algorithm achieving 90% accuracy.
- Collaborated with cross-functional teams to strengthen fraud detection strategies.
- Developed complex SQL queries and Informatica ETL mappings for efficient processing of large datasets.
Senior Data Engineer
Wells Fargo
San Francisco
08.2011 - 04.2012
- Project: Brokerage Integration Phase III - Merging Wachovia and Wells Fargo brokerage data.
- Optimized AI-powered data pipelines, enhancing large-scale data integration processes.
- Created Unix scripts for efficient file handling and automated notifications.
- Developed Informatica mappings for LoanIQ module, streamlining data processing workflows.
- Led junior data engineers, ensuring quality and technical mentoring.
- Applied machine learning techniques to optimize data migration processes.
Data Engineer
Kaiser Permanente
Pleasanton
12.2009 - 08.2011
- Developed data pipelines for member enrollment and billing data, facilitating timely reporting.
- Consolidated data from three source systems into star-schema warehouse to enhance data accessibility.
- Designed automation deployment framework for regulatory reporting, streamlining compliance processes.
- Project: MDW 2.0 - Medicare Membership Data Warehouse.
Education
Master of Business Administration - Finance & IT
Osmania University
Data Warehouse Certification -
Madison Area Technical College
Skills
- Data Engineering & Big Data: PySpark, Apache Spark, Airflow, Kafka, ETL/ELT, real-time processing
- Cloud & Data Platforms: Azure, Databricks, Snowflake, Microsoft Fabric, distributed systems
- Data Warehousing & Transformation: DBT, Informatica, Ab Initio, Oracle, data modeling & integration
- Programming & Analytics: Python, SQL, Machine Learning, PyTorch, automation
- AI & Generative AI: LLMs, Prompt Engineering, LangChain, AI applications
- Analytics & Experimentation: Power BI, A/B Testing, self-service BI, insights generation
- Data Governance: Data quality, metadata, lineage, governance frameworks, compliance
- Project & Product Delivery: Agile/Scrum/Kanban, stakeholder management, sprint planning, backlog prioritization, UAT, Jira/Confluence
Certification
- Microsoft Certified: Azure Fundamentals
- Microsoft Fabric
- Google Cloud Certified Digital Leader
- IBM Data Science Professional
- Prompt Engineering Vanderbilt University
- SnowPro Core, Data Engineering AI specialty
References
References available upon request
Personal Information
Citizenship: US Citizen
Timeline
Lead Data Engineer| Program Manager
Microsoft
12.2024 - 07.2025
Data Engineer Lead
Wells Fargo
04.2014 - 11.2024
Senior Data Engineer
Kaiser Permanente
02.2013 - 03.2014
Senior Data Engineer
Wells Fargo
08.2011 - 04.2012
Data Engineer
Kaiser Permanente
12.2009 - 08.2011
Master of Business Administration - Finance & IT
Osmania University
Data Warehouse Certification -
Madison Area Technical College