Mukul Desai
Data Engineer building production ETL/ELT pipelines, cloud data warehouses on AWS and Snowflake, and AI-augmented analytics across healthcare and financial services. Comfortable across Airflow and dbt orchestration, dimensional modeling, RAG systems with LangChain, and stakeholder-facing Power BI and Tableau dashboards.
Technical Skills
My expertise spans across data engineering, machine learning, and analytics technologies
Programming Languages
Data Engineering
Machine Learning & AI
Analytics & Visualization
Cloud Platforms
Tools & Technologies
Work Experience
Building production data systems across healthcare and financial services
Johnson & Johnson
Data Engineer
- Developed event-driven monitoring and validation pipelines across 6+ enterprise applications, processing 200+ files and 100K+ records daily with automated schema and anomaly checks eliminating 15+ hours/week of manual support.
- Standardized release workflows by engineering Jenkins CI/CD pipelines with shared libraries across multiple data and integration repositories, reducing average deployment time by 65%.
- Engineered cross-system identity data reconciliation logic across ServiceNow, IAM, and Salesforce, automating access provisioning workflows for hundreds of users and cutting cycle time by 60% across 3 teams.
TripForCure Inc.
AI & Data Platform Engineer
- Designed and orchestrated 8+ Airflow DAGs running Python and FastAPI data workflows for hospital recommendation systems, cutting manual data prep time by 70% for downstream reporting teams.
- Built ingestion and embedding pipelines indexing 2K+ healthcare document chunks into a ChromaDB vector store, powering a LangChain and GPT-4 RAG system serving 500+ clinical stakeholders across 31 hospital locations.
- Led zero-downtime migration of data infrastructure to AWS (S3, RDS, IAM, CloudWatch) using a dual-write cutover, improving system reliability and HIPAA-aligned compliance posture.
TripForCure Inc.
BI & Data Engineering Intern
- Productionized Python and SQL ETL pipelines consolidating tens of thousands of healthcare records from 31 hospital locations into Snowflake, cutting manual consolidation effort by 80%.
- Implemented dbt transformations and quality tests across staging and mart layers, maintaining 99.9% data quality across 7 production models.
- Created Power BI dashboards on the Snowflake mart layer, tracking clinical KPIs (readmission rates, length of stay, patient throughput) for 500+ stakeholders across clinical and operational teams.
Larsen & Toubro Technology Services
Data Analyst Intern
- Delivered Tableau dashboards and SQL workflows tracking project performance and financial metrics across 5+ engineering units, cutting manual reporting effort by 40%.
Featured Projects
Data engineering, AI, and analytics projects across healthcare and financial services
Healthcare Data Reliability Platform
End-to-end modern data engineering project simulating how healthcare organizations create trusted analytics systems. Ingests synthetic healthcare data, transforms into analytics-ready warehouse models, applies automated quality checks, monitors pipeline health, and exposes business insights via Streamlit dashboard.
ZeroDay - Multi-Agent AI Developer Onboarding
Architected a 4-agent LangChain system (code search, task recommendation, learning guidance, real-time help) sharing context through a ChromaDB vector store, achieving sub-second retrieval and reducing onboarding queries by 40%.
Education & Certifications
My academic foundation and professional certifications in data science and engineering
Education
Northeastern University
Master of Science, Information Systems
Key Coursework:
University of Mumbai – VESIT
Bachelor of Engineering, Electronics & Telecommunications
Key Coursework:
Get In Touch
Ready to discuss your next data project? Let's connect and explore how we can work together.
Contact Information
Resume
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Ready to Collaborate?
I'm always excited to work on innovative data projects and help organizations unlock the power of their data. Let's build something amazing together!