Amit is Data Professional with 19+ years of experience building high-impact data solutions across Quick Commerce, Fintech, and Retail domains. Passionate about team development, mentoring, and new tech explorations.
- 📈 I’m currently working on -- Finding ways to keep myself busy, looking out for new enagements.
- 📚 I’m currently learning -- how to better share my experiences with others and learn from their's.
- 🌐 I’m looking to collaborate on -- anything related to Data Tech ( Work Projects, hobby discussions , Internship Projects, )
- ❓ I’m looking for help with -- meaingful contact for any sort of collaboration, consulting in data space
- 🎯 Ask me about -- Data, Spritual Philosphies, Mentoring :)
- 📧 How to reach me: -- Drop Message Here
- ☕ Fun fact: I am on constant pursuit of knowing myself bit more each day ; a philosophical spiritial seeker
- Driving Business Value: Proven success in scaling companies and establishing a data-driven decision culture, notably helping Blinkit scale 10X.
- Strategic Architecture: Expert in designing and executing comprehensive Data Strategy and modern Data Lakehouse Architecture.
- Cost & Efficiency Optimization: Achieved significant savings and performance gains, including a 50% efficiency in ETL workload run time and saving $100K per year by supervising platform migrations.
- Team Leadership: Led and developed versatile teams encompassing Data & Analytics Engineering, Data Science, and AI Engineering.
- Innovation: Actively applying AGI (Artificial General Intelligence) methodologies to innovate planning, execution, and efficiency across the data lifecycle.
- Financial Reporting: Enabled business steering by building Day level P&L and handling Financial Reporting and Audits.
- Data Warehouse & Lakehouse: Deep expertise in the Medallion Architecture (Bronze, Silver, Gold) and Kimball methodologies (Fact & Dimension) for designing robust data marts.
- Core Languages & Tools: Hands-on with SQL, Python, dbt (Data Build Tool), and Airflow.
- Data Platforms: Strong experience with cloud and big data platforms including Snowflake, Databricks, Trino, AWS Redshift, and Apache Iceberg S3.
- Real-Time Analytics: Enabled Near Real-Time reporting and Live KPI Metrics using efficient pipeline design via Lakehouse and technologies like Apache Pinot.
- Data Governance: Responsible for building and managing Data Quality Frameworks for fraud detection, data completeness, and schema break identification.
- Visualization: Managed and owned BI capabilities using Tableau and Superset.