Namit Naik

About Namit Naik

I\'m Namit Naik, a Data Engineer specializing in real-time and batch data processing frameworks, with extensive expertise in designing and optimizing data-intensive applications. My technical foundation is rooted in Big Data and AWS technologies, where I have developed and managed sophisticated solutions that streamline operations and enhance decision-making capabilities.Skilled in Python and SQL, I have comprehensive experience with AWS services such as DMS, MSK, MWAA, S3, EMR, EC2, Lambda, Step Function, Glue & Redshift. I am also proficient with advanced data processing and orchestration technologies like Apache Spark, Apache Flink, Apache Hudi, Apache Kafka, and Apache Airflow, which empower me to build scalable, efficient data pipelines and real-time ETL systems.With a strong emphasis on continuous improvement and innovation, I am adept at leveraging real-time data streaming and state management to improve system responsiveness and data accuracy. My approach always includes automating workflows to reduce manual intervention, increase process efficiency, and ensure data integrity across complex deployments.As a committed lifelong learner and problem solver, I thrive in environments that challenge me to evolve and adapt to the ever-changing landscape of technology. If you are in need of a highly experienced data engineering professional to enhance your data infrastructure and drive impactful business outcomes, feel free to reach out. Let\'s discuss how I can bring value to your organization with cutting-edge data solutions.

Experience

1. Product Engineer i - Big Data

   Experian

   Apr 2024 — Present · Mumbai, IN

   Developed a PySpark-based dynamic dashboard to monitor EMR step executions, providing stakeholders with real-time performance insights and highlighting operational efficiencies.•Engineered a Python CLI wrapper to automate business flows via an EC2 edge node, significantly reducing manual interventions and enhancing process efficiency.•Enhanced ETL data loading and transformation logic, addressing AWS infrastructure vulnerabilities and improving system reliability as part of ongoing BAU contributions.•Led a proof of concept for a real-time ETL system, improving data accuracy and system responsiveness, and presented the PoC at the EMAP Hackathon FY2025 Q3, winning the Best Tech Idea Track.•Contributed to winning the Experian Role Model Award in August 2024 for data and operations excellence.•Conducted PySpark training sessions for the analytics team, boosting their operational efficiency and understanding of complex data and business flows.•Fostered strong relationships with stakeholders including product owners and senior developers, ensuring successful project outcomes through effective collaboration.

Education

• Royal Jr College

  HSC, Electronics

  2015 — 2017

• SIES Graduate School Of Technology

  University Of Mumbai Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

  2017 — 2021

• Guardian School - India

  ICSE, Computer Programming (JAVA)

  2005 — 2015