Overview
Senior Data Engineer based in Mumbai with 7+ years of experience designing, developing, and operating data platforms for enterprise analytics and reporting.
At a glance
7+
Years in data engineering
4+
Domains
100+
Pipelines Delivered
60%
Faster platform setup time
What I build
- Data platforms using Azure, AWS and GCP based tools liek Databricks, Synapse, Data Factory, and .
- Orchestrated pipelines with monitoring, alerts, and runbook-ready telemetry.
- Metadata, governance, and row-level security controls.
Core platforms
Databricks
Azure Synapse
Azure Data Factory
Snowflake
Recent impact
- Built a command and control application for managing 30+ manufacturing plants with 40+ KPI drilldowns.
- Implemented metadata and data quality monitoring with alerts and escalations in Synapse.
- Automated platform deployments with GitHub Actions, Azure DevOps, and Terraform to cut setup time by 60%.
Experience
- YipitData - Senior Data Engineer, Aug 2025 to Present (Remote)
- Neudesic - Senior Data Engineer, Dec 2021 to July 2025 (Remote)
- TCS - Data Engineer, Nov 2018 to Dec 2021 (Mumbai)
See projects for a deeper look at platforms delivered and optimizations shipped.
Projects
Project highlights from client platforms and internal accelerators.
Command and Control Data Platform
Designed an Azure Synapse platform with ingestion and transformation across SAP CDC, API, and SFTP sources, modeling data in Databricks for KPI reporting.
- Client: Leading Indian cement manufacturer
- Outcome: 30+ plants and 40+ KPI drilldowns
Metadata and Data Quality Framework
Built metadata services in Cosmos DB with serverless Azure Functions for configuration, scheduling, and logging, plus Synapse monitoring for benchmarks and alerts.
- Security: Custom row-level security for fine-grained access
- Delivery: CI/CD for Synapse, Cosmos DB, and Azure Functions
IT Infrastructure Provider Data Platform
Led a pilot using Delta Live Tables and Auto Loader for bronze and silver layers, contributing to an ingestion and processing framework on Azure Data Factory and Databricks.
In-House Data Platform Accelerator
Automated deployment of Azure Data Factory or Synapse, Databricks, and Storage using GitHub Actions, Azure DevOps pipelines, and Terraform templates.
- Impact: 60% reduction in configuration time
- Innovation: Delta tables for metadata and Delta Catalog POC for RBAC
Command and Control Data Platform
Delivered a command and control data platform for a leading Indian cement manufacturer, enabling unified visibility across manufacturing, sales, and logistics.
What I delivered
- Architected an Azure Synapse platform with pipelines orchestrating ingestion and transformation.
- Partnered with stakeholders to map manufacturing, sales, and logistics processes into a tailored data model.
- Integrated SAP CDC, API, and SFTP sources into a unified data model using PySpark notebooks on Databricks.
- Delivered 40+ KPI drilldowns spanning 30+ manufacturing plants.
- Led a team of three data engineers and one analytics engineer to deliver the pilot within the first month.
Platform capabilities
- Built a metadata framework with Cosmos DB and serverless Azure Functions for source configuration, scheduling, and logging.
- Implemented data quality monitoring in Synapse with benchmark deviation alerts and escalations.
- Set up CI/CD for Synapse, Cosmos DB, and Azure Functions using Azure DevOps pipelines.
- Designed a custom row-level security framework for fine-grained access control.
Metadata and Data Quality Framework
Designed a governance and quality layer to keep the platform reliable, observable, and secure.
Highlights
- Implemented a metadata framework using Cosmos DB with a serverless Azure Function interface.
- Centralized source configuration, scheduling, and pipeline logging.
- Monitored quality benchmarks in Synapse with deviation alerts and escalations.
- Contributed to custom row-level security for role-based access across business units.
Delivery
- Configured CI/CD for Synapse components, Cosmos DB, and Azure Functions.
IT Infrastructure Provider Data Platform
Built a pilot data platform to monitor incident resolution time and analyze turnaround metrics for service requests.
Highlights
- Evaluated Delta Live Tables with Auto Loader as bronze and silver layers in the lakehouse.
- Contributed to an ingestion and processing framework on Azure Data Factory and Databricks.
In-House Data Platform Accelerator
Built an accelerator to deploy standardized Azure data platforms rapidly based on user inputs.
What it automated
- Provisioned Azure Data Factory or Synapse, Databricks, and Storage resources with reusable templates.
- Supported deployments with GitHub Actions, Azure DevOps pipelines, and Terraform templates.
Impact and innovations
- Reduced configuration time by 60% through automation.
- Evaluated hosting the metadata database as Delta tables to decouple storage and compute.
- Built a Delta Catalog POC to improve data sharing and RBAC control.
Skills
Hands-on tooling and methods used across ingestion, transformation, governance, and delivery automation.
Technologies
Azure Synapse
Azure Data Factory
Databricks
Snowflake
Azure Data Lake
Azure Storage
SQL
Python
Azure DevOps
GitHub Actions
Techniques
Data pipeline design
Database modeling
Data wrangling
Data normalization
CI/CD
Certifications
Academic Achievement
Technical paper publication (2019): "Machine Learning Based Autonomous Road Maintenance System Using Cold Lay Asphalt" in the international journal Helix, Vol. 8(5): 4002-4006.
Education
University of Mumbai, Mumbai - Bachelor of Engineering in Electronics and Telecommunication (Jun 2018). CGPA 7.94/10.
Contact
Contact me via email or LinkedIn , would be happy to connect and talk data!
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