Transforming raw data into clarity, strategy, and impact — through robust pipelines, intelligent dashboards, and cloud-native analytics. Based in Delhi NCR. Open to global opportunities.
I'm a BI Developer and Data Engineer with 3+ years of experience building end-to-end data solutions — from cloud ETL pipelines and data warehouses to interactive Power BI dashboards that stakeholders actually love using.
Currently a Consultant at Intellicus Technologies, where I bridge business needs and technical execution. I'm actively expanding into Machine Learning and Data Science — building real projects to complement my strong engineering foundation.
When I'm not writing PySpark jobs or fine-tuning DAX measures, I'm studying ML techniques, writing about data, and connecting with the community.
Hands-on experience delivering enterprise data solutions across BI consulting, cloud data engineering, and analytics — with measurable impact at each role.
Interactive Power BI dashboards with Drillthrough, Bookmarks, Sparklines, Row-Level Security, and parameter-driven reports. Achieved 30% improvement in decision-making and 100% governance compliance.
End-to-end ETL pipeline using Azure Databricks and ADLS Gen2. Unified 6 datasets into a data lakehouse with Delta Lake time-travel, reducing root cause analysis time by 30%.
A full machine learning pipeline covering feature engineering, model training, evaluation, and deployment with MLflow tracking.
Production-grade cloud data engineering with ADF, Azure Synapse, and Medallion Architecture. Modern lakehouse design with full observability.
Deep exploratory data analysis with predictive modelling, storytelling, and actionable business insights. Full Jupyter notebook workflow.
ML pipeline with Databricks Feature Store, MLflow experiment tracking, and Model Serving. Production-grade ML engineering on Azure.
How to implement RLS effectively, common pitfalls, and best practices for enterprise data governance — everything I wish I knew when starting out.
Step-by-step walkthrough of architecting a production-ready data lakehouse using ADLS Gen2, Databricks, and Delta Lake with real lessons from the F1 project.
The skills that transfer, the gaps I'm filling, the projects I'm building — a candid look at moving from data engineering into machine learning.
"Every great data product starts with a great conversation."
I'm actively looking for roles in Data Engineering, Data Science, and ML Engineering. Whether you have a project, an opportunity, or just want to talk data — I'd love to hear from you.
Whether it's a full-time role, contract engagement, or a remote opportunity — I'm ready to bring my data engineering expertise and growing ML skills to your team.