Data Engineer Cloud

Vineesha Chowdary Voleti

Cloud Data Engineer +1-646-***-**** ************.******@*****.*** http://linkedin.com/in/vineesha-chowdary-voleti Location – New Jersey

PROFESSIONAL SUMMARY

•Cloud Data Engineer with 4.5 years of experience architecting enterprise data platforms processing 50M+ daily transactions across healthcare, retail, and financial services, reducing infrastructure costs by 40% through optimized Azure/AWS solutions

•Multi-cloud specialist with production expertise in Azure (Data Factory, Synapse, SQL Database) and AWS (S3, RDS, EC2), managing petabyte-scale data lakes and streaming pipelines for Fortune 500 clients

•ETL/ELT expert designing high-performance workflows using SSIS, Python, Kafka, and Hive, processing terabytes of pharmacy claims (2M+ records/hour) and financial market data with sub-second latency

•BI architect delivering Power BI ecosystems (100+ dashboards), Tableau visualizations, and SSRS reporting that eliminated 80+ hours of weekly manual work while ensuring HIPAA, SOX, and GDPR compliance

•DevOps practitioner implementing Azure DevOps CI/CD pipelines, enabling zero-downtime deployments and reducing deployment errors by 85%

TECHNICAL SKILLS

Cloud Platforms: Azure (Data Factory, Synapse Analytics, SQL Database, DevOps, Backup), AWS (S3, RDS, EC2, CloudWatch)

Data Engineering: ETL/ELT Pipelines, SSIS, Python, Apache Kafka, Apache Hive, Real-time Streaming, Data Lakes

Databases: SQL Server, Azure SQL Database, AWS RDS, Snowflake, Query Optimization, Stored Procedures, Indexing

Analytics & BI: Power BI, Tableau, SSRS, Dashboard Development, Data Visualization, KPI Reporting

Programming: SQL, Python, T-SQL, Stored Procedures, Data Modeling (Star/Snowflake Schema)

DevOps & Automation: Azure DevOps, CI/CD Pipelines, Infrastructure as Code, Automated Deployment

Data Governance: HIPAA Compliance, SOX Compliance, GDPR, Data Quality Validation, Security Policies

PROFESSIONAL EXPERIENCE

Cloud Data Engineer

Elevance Health – Indianapolis, IN, Jan 2024 - Present

Multi-State Health Plan Digital Transformation - Member Experience Enhancement

•Executed zero-downtime migration of 15TB legacy member systems to HIPAA-compliant Azure Cloud, ensuring continuous member portal access across 300+ provider locations during annual benefit enrollment periods.

•Built clinical data pipelines processing terabytes of member encounters, social determinants data, and provider quality metrics into Azure Health Data Services, supporting care management for 50M+ member interactions annually.

•Developed standardized healthcare ETL templates for clinical data integration across Medicaid, Medicare Advantage, and ACA marketplace programs, reducing new state expansion timelines by 25% while ensuring consistent member data quality.

•Configured Azure SQL Database clusters for member management with automated HIPAA-compliant backup/recovery, implementing read replicas for member portal queries and maintaining 99.9% uptime during open enrolment.

•Created member experience analytics using Power BI and Tableau, delivering real-time dashboards for member satisfaction scores, provider network adequacy, and care gap identification, enabling clinical teams to improve member outcomes within 2-hour response windows.

•Implemented healthcare fraud detection utilizing SQL triggers and Python ML algorithms to identify suspicious medical claims, reducing fraudulent provider billing by 40% and protecting $500K+ in member premium dollars annually.

•Established a clinical data validation framework ensuring 99.99% accuracy between legacy clinical systems and Azure cloud during member data migration, implementing automated alerts for critical health record discrepancies.

•Managed healthcare security architecture, configuring role-based access controls and PHI data masking across Azure environments, ensuring HIPAA Business Associate Agreement compliance for member health information protection.

•Automated clinical deployment processes through Azure DevOps with healthcare-specific testing protocols, reducing manual deployment time from 4 hours to 15 minutes while maintaining member data integrity.

•Optimized healthcare cloud costs through intelligent member data tiering and reserved instance strategies, achieving a 30% reduction in cloud spending ($75K annual savings) while improving member portal performance.

Cloud Data Engineer

SUN TECH SOLUTIONS AND SERVICES PVT – Chennai, India, Mar 2020 – Dec 2022

Multi-Cloud Retail Analytics Platform - Digital Transformation

•Executed zero-downtime migration of 15TB legacy retail systems to Azure Cloud and AWS S3, ensuring continuous operations across 300+ stores during Black Friday peak season

•Built Python and Hive pipelines processing terabytes of POS transactions and customer data into a cloud data lake, supporting analytics for 50M+ profiles and $2B+ annual revenue

•Developed reusable SSIS templates standardizing retail ETL development, reducing project timelines by 25% and ensuring consistent quality across business units

•Configured Azure SQL Database and AWS RDS clusters with automated backup/recovery, implementing read replicas and maintaining 99.9% uptime during peak seasons

•Created Power BI and Tableau analytics delivering real-time store KPIs and promotion tracking, enabling marketing teams to adjust campaigns within 2-hour windows

•Implemented fraud detection system using SQL triggers and Python ML scripts, reducing fraudulent transactions by 40% and protecting $500K+ annually

•Established data validation framework ensuring 99.99% accuracy between on-premises and cloud systems during migration, with automated discrepancy alerts

•Managed enterprise security, configuring RBAC and data masking across Azure/AWS, ensuring PCI-DSS compliance for payment processing

•Automated deployment via Azure DevOps with CI/CD testing and rollback capabilities, reducing deployment time from 4 hours to 15 minutes

•Optimized cloud costs through rightsizing and reserved instances, achieving a 30% reduction in spending ($75K annual savings) while improving performance

ACHIEVEMENTS

Cost Optimization Excellence: Achieved cumulative $435K annual savings across three major projects through intelligent resource management and cloud architecture optimization.

Performance Innovation: Delivered an average 35% improvement in query performance across healthcare, retail, and financial platforms through advanced SQL optimization and architectural enhancements.

Compliance Leadership: Successfully maintained 100% regulatory compliance (HIPAA, SOX, GDPR, PCI-DSS) across all projects while enabling real-time analytics and reporting capabilities.

Zero-Downtime Delivery: Executed complex cloud migrations and system upgrades with 99.9%+ uptime, ensuring continuous business operations during critical peak periods.

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