Experience

LinkedIn

Professional experience of Ritam Mukherjee in Big Data, Cloud, and AI/ML.

Ritam Mukherjee

AI & BigData Architect @ Mobilewalla | Ex-Walmart, Deloitte

Greater Kolkata Area  ·  12+ years experience

View ProfileConnect

Accomplished professional with 12+ years of experience designing and deploying cloud-native architectures and big data solutions. Strong focus on creating business impact through technical excellence in cloud platforms (AWS, Azure, GCP), real-time analytics, big data pipelines, and distributed systems. Proven track record of delivering 30% cost savings, improving system performance by 40%, and achieving 100% SLA compliance.

Career timeline

  1. Aug 2024 – Present

    Engineering Manager - Solutions

    Mobilewalla · Kolkata

    • Designed framework for petabyte-scale data ingestion and processing to generate custom consumer behaviour segments with predictive models at scale.
    • Built end-to-end Fintech API backend delivering near real-time feature and risk assessment data — multi-region, highly available, with enhanced security, metering, and logging.
    • Designed and developed a Feature Integrator product as a single source of truth for all predictive model features (including age and gender models), reading petabyte-scale aggregate data once to save computation time and cost.

  2. Sep 2020 – Jul 2023 (2 yrs 11 mos)

    Lead Data Engineer

    Mobilewalla · Kolkata

  3. Jun 2019 – Aug 2020 (1 yr 3 mos)

    Senior Data Engineer

    Mobilewalla · Kolkata

  4. May 2018 – May 2019 (1 yr 1 mo)

    Senior Developer

    Walmart Labs · Bangalore

    • Designed and built workflows to ingest high-volume clickstream data via Adobe Omniture into a Hive staging environment.
    • Implemented a data pipeline ingestion framework producing primary DWH and secondary NoSQL aggregated feeds.
    • Tuned Spark code and resolved streaming bottlenecks in the execution environment.

  5. Mar 2016 – May 2018 (2 yrs 3 mos)

    Technical Consultant

    Deloitte · Bengaluru

    • Implemented real-time analytics with Apache Kafka & Spark Streaming; built custom Kafka consumer for network outage data.
    • Developed a scalable framework for end-to-end data pipeline integration via Apache Spark and Alluxio.
    • Created and validated IVR files with alternate paths for audit reject records.
    • Built complex Airflow DAGs for Spark jobs; drove projects from RFP submission through high-level design, execution, and warranty support.

  6. Jul 2014 – Mar 2016 (1 yr 9 mos)

    Associate Consultant

    Capgemini · Pune

    • Implemented Teradata–Hive data migration project using Teradata Sqoop connector, Hive, Sqoop, and Oozie.
    • Solved Hive script performance issues with optimised joins and aggregations.
    • Implemented DWH integration on Teradata using FLOAD/MLOAD utilities and built ELT scripts.
    • Used Informatica to develop mappings and workflows scheduled via WLM.

  7. Sep 2011 – Aug 2013 (2 yrs)

    System Engineer

    Infosys · Hyderabad

    • Worked on Oracle Warehouse Builder 11g, Oracle 11g PL/SQL, and OLAP/OLTP systems for a data integration project at a leading oil drilling corporation.
    • Developed shell scripts, PL/SQL stored procedures, and triggers for data curation.
    • Published a KX paper on Materialized Views and Triggers.

Certifications

Building Intelligent Agent WorkflowsMachine Learning Nanodegree — UdacityGenerative AI Applications with Amazon BedrockGenAI and LLMs on AWS

Education

West Bengal University of Technology

Bachelor of Technology (B.Tech.), Information Technology  ·  2007–2011

Udacity

Nanodegree, Machine Learning Engineer  ·  2018