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AM

Anmol Mishra

Senior Data Engineer · Cloud Data Platforms · Legacy Modernization

Bangalore, Karnataka, India

@anmolmishra21984768

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About

Senior Data Engineer with 5 years of experience building cloud-native data platforms and modernizing legacy data ecosystems across AWS and GCP. Experienced in scalable ETL/ELT pipelines, data platform migrations, performance optimization, and end-to-end delivery across retail, finance, and e-commerce domains.

Experience

  • Senior Data Engineer
    Best Buy India · Bangalore
    Mar 2025 – Present

    Architected near real-time Lakehouse pipelines for credit card leasing data; led modernization of 100+ financial reports onto Databricks Lakehouse; led Teradata-to-Lakehouse migration for the Store Domain; built centralized data quality, audit, and control frameworks.

  • Data Engineer
    Sigmoid Analytics
    Nov 2023 – Feb 2025

    Designed and developed an end-to-end commodity price forecasting data platform; built scalable ingestion pipelines; developed distributed PySpark pipelines; implemented Medallion Lakehouse Architecture; optimized Delta workloads; automated production pipelines.

  • Software Engineer (Data Engineer)
    Indiamart Intermesh Limited
    Jul 2021 – Oct 2023

    Engineered a scalable Call Team Data Mart; developed Power BI dashboards; built ETL pipelines and optimized data models; designed a Call Defaulter API; developed automated PySpark ETL for pricing data quality; designed scalable data pipelines.

Education

Skills

5 to 8 years 5 to 8 years A long stretch - five to eight years.
SQL ETL Spark Python PySpark Governance Cost Control Data Quality Data Analysis Cloud Computing Data Engineering Dimensional Modeling Performance Optimization
2 to 5 years 2 to 5 years Several years of experience.
Data Lineage Data Modeling Metadata Management
1 to 2 years 1 to 2 years A year or two of steady use.
Delta Lake Architecture

Tools / apps / platforms

2 to 5 years 2 to 5 years Several years of experience.
S3 GCP Git RDS GitHub Lambda BigQuery Dataplex Databricks PostgreSQL Looker Studio Apache Airflow Amazon Redshift Microsoft Power BI Microsoft SQL Server Amazon Web Services AWS

Projects

  • Near Real-Time Retail Lakehouse
    Databricks, PySpark, Delta Lake, SQL

    Designed a near real-time Medallion Lakehouse for scalable retail analytics; built incremental ingestion and CDC pipelines; optimized Spark workloads; orchestrated Bronze-to-Gold pipelines with Databricks Workflows.

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