Architecting High-Scale Data Platforms & Multi-Domain Analytics
Sagar D. Shingare — Big Data Tech Lead & Data Architect with 14+ years overall experience engineering distributed systems, Medallion Lakehouses, and high-throughput real-time pipelines across global enterprise domains.
Specialized in Apache Spark (Scala & Python), Databricks, BigQuery, AWS EMR, Delta Lake, Snowflake, and tuning 3TB+ pipelines for Fortune 500 enterprises and hyper-growth scaleups.
Data Analytics & Engineering Across Every Domain
Deep domain expertise matters. See how tailored data architectures unlock measurable business value in each sector.
Banking, Financial Services & Insurance (BFSI)
Real-Time Fraud Prevention, Risk Modeling & Regulatory Analytics
High-throughput, audit-compliant financial data platforms engineered to ingest and process transaction streams, calculate credit r...
Life Sciences & Healthcare Analytics
Multi-Omics Harmonization, Clinical Trials & Oncology Data Lakes
Integrated clinical and scientific data platforms harmonizing disparate electronic health records, biomarker research, clinical tr...
Retail & Consumer Packaged Goods (CPG)
Demand Sensing, Trade Promotion AI & Supply Chain Visibility
High-scale demand forecasting engines and point-of-sale data harmonization frameworks delivering real-time inventory visibility an...
Insurance & Actuarial Platforms
Automated Claims Triage, Risk Scoring & Policyholder Analytics
Data platforms accelerating insurance claims processing, loss ratio calculations, and real-time risk assessment by connecting poli...
Enterprise Lakehouse Architecture
Modern Multi-Cloud Medallion Architecture (Bronze / Silver / Gold)
End-to-end lakehouse architectures unifying streaming and batch paradigms on Delta Lake and Apache Iceberg. Decoupled compute and ...
Real-Time Streaming & Event-Driven Systems
Sub-Second Event Ingestion, CDC & Windowed Aggregations
Production-grade streaming systems ingesting, validating, and enriching millions of events per minute with sub-second latency for ...
Freelance & Consulting Services
End-to-End Data Analytics & Lakehouse Development, Modern Website Design & Zero-Idle Cloud Hosting, 24/7 Autonomous AI Workers, and Turnkey Custom Product Engineering.
End-to-End Data Analytics & Lakehouse Development
Turnkey data lifecycle delivery from raw ingestion to executive BI — backed by 14+ years of proven scale.
Key Deliverables:
- Medallion Lakehouse (Bronze/Silver/Gold) on Databricks/Delta Lake/Snowflake
- Automated Real-Time CDC & Batch Ingestion Pipelines
- Star-Schema Dimensional Data Marts & Curated BI Layers (Power BI/Tableau)
- Automated Pipeline Observability, Failure Alerts & Health Checks
Modern Website Design, Cloud Hosting & Serverless Deployment
High-converting, responsive web platforms containerized on Google Cloud Run & AWS — ultra-fast, secure, with zero-idle hosting costs.
Key Deliverables:
- Bespoke UI/UX Design with Modern Aesthetics, Responsive Layouts & Animations
- Serverless Containerized Deployment on Google Cloud Run / AWS ECS
- Zero-Idle Cloud Architecture (Extremely Frugal Monthly Hosting Expenses)
- Free Automated SSL/TLS Certificates, Custom Domain & DNS Configuration
AI-Powered Workflow Automation (24/7 Autonomous Workers)
Convert costly manual operations into 24/7 autonomous AI workers that run continuously with zero errors.
Key Deliverables:
- Intelligent Document & Invoice OCR Extraction Pipelines (PDFs, Images, Tables)
- 24/7 Autonomous AI Agent Workers with Self-Healing & Auto-Retry Logic
- Multi-System Connectors (CRM, ERP, Databases, Google Sheets, Slack, Webhooks)
- Real-Time Anomaly Alerting & Human-in-the-Loop Fallback Triggers
Turnkey Project Work & Custom Product Development
From napkin concept to production-grade SaaS or enterprise data platform — rapid engineering with 100% IP ownership.
Key Deliverables:
- Comprehensive Technical Architecture Blueprint & Tech Stack Selection
- Full-Stack MVP or Enterprise Software Product Built from Scratch
- Modular REST/GraphQL APIs & Scalable Relational/NoSQL Database Schemas
- Automated Unit & Integration Testing with Automated CI/CD Pipelines
PySpark, Databricks & Lakehouse Performance Optimization
Eliminate pipeline bottlenecks, reduce job runtimes by 50-70%, and slash monthly cloud compute costs.
Key Deliverables:
- Workload Bottleneck Audit Report & Memory Spill Analysis
- PySpark / SQL Code Refactoring & Data Skew Remediation
- Partitioning, Caching & File Compaction Optimization
- Guaranteed 50-70% Runtime Reduction & Verified FinOps Compute Savings
Fractional Data Architect & Strategic Advisory Retainer
Senior enterprise data leadership and technical strategy without the full-time executive payroll overhead.
Key Deliverables:
- Bi-Weekly Strategic Architecture & Technical Roadmap Sessions
- Pull Request (PR) Reviews, Schema Audits & Data Sanity Checks
- Tech Stack Evaluation, Cloud Vendor Audits & FinOps Forecasts
- Data Engineering Team Coaching & Candidate Technical Interviews
Featured Enterprise Projects
Real-world data lakes, migration engines, and high-scale streaming pipelines.
Life Sciences Oncology Multi-Source Analytics Platform
Architected and implemented a high-volume clinical data lake integrating 26+ heterogeneous healthcare and oncology datasets. Designed standardized data models, automated quality validation, and enabled oncologists to execute longitudinal patient cohort queries across 3TB+ of research data.
CPG Promotional AI & Demand Forecasting Engine
Engineered high-scale ingestion and feature engineering pipelines for a global Sales & Marketing Promotional AI engine on Azure Databricks. Migrated multi-terabyte legacy Teradata schemas to high-performance Delta tables and cut model training data preparation cycles by 60%.
BFSI High-Throughput Real-Time Transaction Pipeline
Designed production-grade streaming pipeline ingesting banking transactions across multiple payment gateways. Utilized Spark Structured Streaming with Kafka to perform real-time windowed aggregations, anomaly detection, and automated settlement reconciliation under FINRA/BASEL III compliance.
Multi-Domain Enterprise Medallion Lakehouse Migration
Architected enterprise migration from legacy monolithic databases to modern Medallion Lakehouse (Bronze, Silver, Gold). Standardized ingestion frameworks, implemented SCD Type 2 tracking, and cut monthly infrastructure costs by 45% while doubling query throughput.
Enterprise Product Data Lake & Distributed Ingestion
Engineered core components of large-scale enterprise product data lakes using Hadoop ecosystem technologies. Developed ingestion workflows using Spark, Hive, and Sqoop handling 10TB+ datasets. Harmonized schemas and migrated legacy Oracle workloads to distributed platforms.
Automated Data Quality & Observability Framework
Designed and deployed a reusable data validation framework checking data freshness, schema mutations, null distributions, and referential integrity across 100+ production tables before downstream BI consumption.
Core Tech Stack & Ecosystems
Technologies mastered through 14+ years of real-world production deployments.