Sayali N.- Senior Data Engineer and Business Intelligence –  9+ years Exp – Our own H1B – Local to Bay Area CA – Willing to relocate anywhere in USA

Senior Data Engineer and Business Intelligence Expert with 9+ years architecting data products and modern data stack infrastructure in healthcare, fintech, and enterprise domains. Expert in building dbt models, designing Snowflake data warehouses, and developing ELT pipelines serving cross-functional stakeholders. Proven track record delivering self-service analytics solutions, implementing data quality frameworks identifying $350K+ in discrepancies, and leading analytics teams. Specialized in SQL optimization, Python automation, Looker development, and building AI-integrated data products. Obsessed with data governance, PII/HIPAA compliance, and establishing systems that drive business decisions at scale.

Senior Data Engineer – AI Integration                                  CAMBIA HEALTH SOLUTIONS                         July 2025 – Present

Medicare/Medicaid Managed Care Analytics | Healthcare Data Quality & AI-Forward Data Products

• ★ Pioneering AI/LLM Integration into Data Quality Infrastructure: Leading cross-functional initiative architecting AI agents and LLM engines into Supplemental Data Quality framework; designing connections between backend dbt pipelines, Snowflake data warehouse, LLM analysis engines, and Sigma visualizations for intelligent anomaly detection and executive decision-making. Coordinating with engineering, product, and analytics teams to prototype systems that identify complex data quality patterns—positioning Cambia for AI-powered data intelligence at scale.
• Architected healthcare data pipelines and dimensional data models consolidating EPIC EHR, ProviderOne claims, clinical datasets; optimized SQL queries achieving 25% improvement in pipeline reliability, reducing monthly data validation overhead by 8 hours.
• Engineered robust data quality framework using Python and statistical methods detecting 15+ critical anomalies in HEDIS metric calculations; implemented preventive automated controls reducing audit adjustments by 90%.
• Built HIPAA-compliant Sigma dashboards enabling 12+ care coordination teams to execute targeted interventions on 200+ clinical opportunities across 8,000+ patient records—improving clinical outcomes through data-driven care gap management.
• Designed comprehensive data governance documentation and SOPs ensuring compliance with healthcare regulations; implemented automated reconciliation procedures eliminating PHI exposure risk across protected health datasets.
• Established data discoverability and lineage tracking systems using dbt and GitLab CI/CD ensuring data teams understand transformation logic and enable self-service analytics at scale.

Data Engineer/ BSA IV                                                         INTUIT                                                              Feb 2025 – Jul 2025

QuickBooks & TurboTax | Strategic Analytics Engineering for FinTech Operations

• Engineered unified ELT pipelines consolidating Workday, iCIMS, and Salesforce data using Snowflake and Databricks; delivered 30% reduction in forecast cycle time and 18% improvement in forecast accuracy enabling strategic workforce and revenue planning.
• Designed performance-optimized SQL data models and dimensional schemas achieving 40% reduction in dashboard refresh latency through query optimization and strategic indexing.
• Built a governed semantic layer using LookML standardizing KPI definitions across Finance, Operations, and Go-to-Market teams; improved KPI consistency by 35% enabling trusted executive reporting to C-suite leadership.
• Developed Python-based anomaly detection and data quality validation procedures identifying outliers in 18+ KPI workflows prior to executive reviews, improving reporting accuracy by 18%.
• ★ Intuit Hackathon Recognition: Designed innovative executive dashboard for commercial strategy and launch planning—workforce allocation, revenue forecasting, and GTM capacity modeling; identified $20M+ in capacity optimization opportunities; dashboard adopted by C-suite for quarterly strategic planning.
• Established LookML documentation and self-serve analytics training program enabling Finance and Operations teams to independently build custom KPI reports; reduced ad-hoc reporting requests by 30%.

Project Controls Data Engineer                                            CHARGE EPC                                                     Jan 2023 – Jan 2025

Infrastructure Project Portfolio Analytics | $500M+ Enterprise Financial Reporting

• ★ CFO Partnership & Strategic Impact: Architected comprehensive financial reporting and forecasting data models driving $500M+ project portfolio decisions; designed predictive forecasts reducing month-end close by 5 days and enabling data-driven approval of $50M+ in contract negotiations.
• Engineered production SQL and Python ETL pipelines integrating Oracle ERP, HCSS project management, and CRM systems; achieved 35% improvement in reporting reliability through comprehensive data validation and error handling.
• Identified and quantified $350K+ in financial discrepancies through high-granularity SQL validation models comparing cost, throughput, WIP, and cash-flow datasets; implemented permanent reconciliation procedures reducing future audit adjustments by 90%.
• Designed performance-optimized Power BI data models and automated dashboards tracking project profitability, utilization, and health; enabled self-serve analytics for 25+ stakeholder users reducing monthly reporting overhead by 15 hours.
• Implemented comprehensive billing validation framework reconciling ERP billing, procurement, and WIP data; resolved revenue accuracy issues improving financial reporting completeness by 40%.
• Modernized legacy ERP reporting infrastructure transitioning from manual processes to scalable analytical systems; automated recurring KPI workflows and variance analysis enabling finance team productivity gains.

Data Analyst                                                                       B2U STORAGE SOLUTIONS                           May 2022 – Dec 2022

EV Battery Asset Management & IoT Analytics Platform

• Designed and deployed scalable BigQuery data warehouse consolidating IoT telemetry and asset health signals; enabled real-time monitoring for 500+ EV batteries with 99% data freshness—reducing reporting latency from weekly to real-time.
• Developed Python/SQL predictive maintenance models integrating IoT failure signals with CMMS; identified failure patterns reducing equipment downtime by 25-30% and generating $150K+ annual maintenance savings.
• Built Qlik Sense dashboards tracking asset performance, availability, and maintenance SLA metrics; increased operational visibility enabling proactive asset management and data-driven maintenance prioritization.
• Implemented data cleansing logic and anomaly detection filters standardizing IoT telemetry data; improved sensor data reliability preventing KPI drift in reporting.

Product Analytics Engineer – FinTech                                 INTELLECT DESIGN ARENA LTD.                Dec 2017 – Sept 2020

Payment Processing & Fraud Detection SaaS | Banking Analytics & Financial Intelligence

• Engineered analytics pipelines and Tableau dashboards for payment and billing workflows; identified $2.5M in monthly transaction anomalies enabling banking clients to improve approval rates by 18%.
• Analyzed payment flows and fraud patterns using SQL and Python; identified customer segmentation insights and risk-adjusted monetization strategies increasing client revenue retention by 22%.
• Designed SQL-based reconciliation and settlement analytics supporting 15+ financial institutions; reduced reconciliation cycle time from 3 days to overnight through automated data quality checks and exception reporting.

Business Analyst – Customer Intelligence                             GLOBUZZ MEDIA                                            Jan 2016 – Dec 2017

• Built analytics infrastructure for digital marketing startup supporting campaign performance tracking; designed dashboards tracking campaign performance, customer acquisition costs, and ROI enabling 15+ data-driven campaigns improving conversion rates by 18%.

Graduate Capstone – Healthcare Data Analytics: Breakthrough Therapy Adoption & Market Sizing

• Conducted quantitative market research and market sizing analysis of breakthrough therapy adoption across commercial, Medicare, and Medicaid populations; synthesized data from US Census Bureau and CMS datasets.
• Built Tableau dashboards visualizing therapy adoption rates, market penetration, and geographic access disparities; identified addressable market opportunities in underserved therapeutic areas.

MS in Business/Data Analytics  –  California State University, East Bay  Dec 2022

Post Graduate Diploma in Advanced Computing  –  University of Pune  Dec 2017

Bachelor of Computer Engineering  –  University of Pune  Jun 2016

Data Modeling & Engineering:  Dimensional modeling, Star schema design, Data normalization, ETL/ELT pipeline architecture, Data warehouse design, dbt (data transformation), Data lake architecture

Data Platforms & Cloud:  Snowflake, BigQuery, Databricks, Azure Data Lake, AWS S3, SQL Server, Data lakehouse architecture

Programming & Query Languages:  SQL (T-SQL, query optimization, window functions, CTEs, performance tuning), Python (pandas, numpy, scikit-learn), Git/GitLab (version control & CI/CD)

BI & Analytics Tools:  Looker (LookML, semantic layer design), Tableau, Power BI, Qlik Sense, SSRS

Modern Data Stack & Observability:  dbt (modeling & documentation), Apache Airflow (scheduling/orchestration), Data quality frameworks, Data lineage tracking, Data discoverability systems, Monitoring and alerting

Software Engineering Practices:  Code review & quality standards, CI/CD pipelines, Version control workflows, Testing frameworks, API integration, Infrastructure automation

Statistical & Analytical Methods:  Regression analysis, Anomaly detection, Statistical hypothesis testing, Distribution analysis, Variance decomposition, Forecasting, Market sizing, Root-cause analysis

Data Security & Governance:  HIPAA compliance, PII/PHI protection, Data governance frameworks, GDPR/FedRAMP/FIPS requirements, Audit trails, Reconciliation procedures, Data lineage & stewardship

Domain Expertise:  Healthcare analytics (EPIC EHR, HEDIS, Medicare/Medicaid), FinTech analytics, Financial planning & analysis, IoT & predictive maintenance, Pharmaceutical market analysis

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NextGen Technologies Inc

Email: kushal.desai@nextgentechinc.com. Website: www.nextgentechinc.com | +1 (413) 424-0484 |