Ritesh M.

About Ritesh M.

A high-energy individual with a passion for contributing abilities and expanding skills in real-world scenarios. Highly organized, responsible, and proficient in Python, PySpark, and SQL, with a focus on continuous learning and growth. I thrive in collaborative environments, forming strong bonds with teammates while radiating positivity and reliability in every project. Service-oriented and dedicated, I consistently aim to exceed expectations. Outside of work, I find joy in music, movies, and gaming, which fuel my creativity and provide a source of energy.

Experience

1. Software Engineer

   Prodapt

   Apr 2023 — Present · Pune, IN

   Developed the core Generative AI solution for TMF Catalyst—AI-Driven Offer Lifecycle Management, with a focus on AI Offer Personalization. Played a key role in showcasing this innovative solution at DTW24, emphasizing its transformative impact on client engagement and the customer journey.• Independently developed interactive Tableau dashboards to meet business intelligence needs, providing real-time insights that empowered stakeholders to make data-driven decisions and enhance operational performance.• Solely designed, built, and maintained robust ETL pipelines using Python, REST APIs, and AWS. My strategic implementation of the boto3 library for AWS service automation drastically reduced manual effort, streamlining operations and driving significant efficiency gains.• Created and optimized REST APIs to seamlessly extract and standardize data from multiple sources, ensuring smooth integration and continuous data flow for downstream processes.• Led the orchestration of data pipelines using AWS Glue, optimizing operational costs while ensuring data integrity and smooth data transformation.• Automated the end-to-end data pipeline, from transformation to loading into AWS Redshift, dramatically enhancing data warehousing capabilities. Leveraged AWS Lambda functions, Step Functions, and parallel processing to optimize pipeline speed and performance.• Implemented error handling and logging to improve data accuracy and provide full visibility into data quality, allowing for the proactive resolution of issues.• Mentored junior team members, sharing best practices for the design and implementation of efficient and scalable ETL pipelines.

Education

• Lovely Professional University

  Bachelor of Technology

  2017 — 2021

• Tagore Public School , Vaishali Nagar, Jaipur

  High School

  2014 — 2017