Data engineer with 4+ years of experience skilled in Azure fundamentals, ETL pipeline development, and data modeling. Proven track record in building robust data solutions and facilitating hands-on training.
Overview
6
6
years of professional experience
3
3
Certifications
Work History
Corporate Trainer
Koenig Solutions Pvt Ltd
Mount Abu
08.2025 - 12.2025
Conduct instructor-led sessions (virtual and on-site) on Azure fundamentals and advanced modules.
Use real-world scenarios to explain architecture, problem-solving, and implementation workflows.
Demonstrate hands-on labs using Azure Portal, CLI, ARM/Bicep, Databricks, Synapse/Fabric, etc.
Designed end-to-end architecture using Snowflake + Databricks.
Built real-time streaming pipelines for transaction ingestion (
Implemented slowly changing dimensions (SCD Type 2) for customer profiles.
Applied data masking & RBAC for PII fields (PAN, Aadhaar, Account No).
Build role-based learning paths (Azure Admin, Data Engineer, DevOps Engineer).
Design capstone projects simulating production workloads (e.g., CI/CD pipelines, data pipelines, security hardening).
Freelancer
Topmate.io
Remote
07.2024 - 07.2025
Develop ETL/ELT pipelines using PySpark, SQL, Azure Data Factory, Databricks, Airflow, or equivalent tools.
Create dimensional models, lakehouse structures, and Delta-based solutions.
Implement best practices for quality checks, lineage, documentation, and versioning.
Data Engineer
Pulse.io
Mumbai
01.2024 - 04.2024
Architected end-to-end data platforms using Snowflake + Databricks to support analytics and AI workloads.
Led data modernization initiatives, migrating legacy ETL and on-prem systems to a cloud-based Lakehouse.
Defined best practices for performance tuning, security, and cost optimization.
Designed and built batch and real-time streaming pipelines.
Mentored junior engineers, conducted code reviews, and enforced engineering standards.
Partnered with product, risk, and compliance teams to translate business requirements into scalable data solutions.
Software Developer
Honeybeetech Solutions
Mumbai
05.2023 - 09.2023
Design data lake, warehouse, and Lakehouse models for banking domains (payments, CASA, loans, credit cards, collections, AML, fraud, and treasury).
Implement dimensional modeling, normalized models, and SCD Type 1/Type 2 structures.
Optimize tables using partitioning, clustering, indexing, and Delta Lake features
Develop batch and real-time pipelines using Spark/PySpark, Kafka, ADF, Databricks, or equivalent.
Ingest data from core banking systems, payment gateways, loan origination systems, credit bureaus, KYC/AML platforms, and card networks.
Implement metadata-driven ETL/ELT frameworks and data ingestion automation.
Business Analyst
Feat Systems Pvt ltd
Mumbai
08.2019 - 02.2021
Gather requirements from stakeholders (operations, risk, compliance, IT).
Document BRDs, FRDs, user stories, and acceptance criteria.
Clarify business rules, product logic, and edge cases.
Map AS-IS and TO-BE process flows for areas like loans, payments, onboarding.
Identify bottlenecks, manual steps, and automation opportunities.