Mahesh Dattatraya Babar

About Mahesh Dattatraya Babar

To encapsulate, I am an accomplished DevOps Cloud Engineer with a demonstrated history of excelling in automating, configuring, and optimizing cloud environments and data centers. My expertise encompasses a wide array of technologies, including robust CI/CD pipelines, adept containerization strategies, and extensive utilization of AWS services. As a Cloud SRE Engineer, I am committed to not only bolstering system performance but also ensuring the resilience and reliability of critical applications.Moreover, I possess a proven ability to seamlessly integrate and collaborate within cross-functional teams, driven by a strong work ethic and a deeply collaborative mindset. My proficiency extends beyond scripting and project management; I am also adept at fine-tuning Python and Bash scripts for optimal automation. This, coupled with my track record of effective client issue resolution, positions me to drive not only technical excellence but also exceptional client satisfaction. With a keen eye for detail and a knack for optimizing systems, I am poised to make meaningful contributions to any project or team, further solidifying my position as a dependable asset in any technical endeavor.Fond of programming with backend, frontend and cloud as well. Love to solve complex problems in programming. Passionate to learn about new upcoming technologies. I love diving into how to make computers create stuff. I am undergraduate in IT Engineering. I love to play cricket and I am Classical Music Tabla Player. Currently I am working as a Data Platform Engineer at Forbes Advisor.Focus : 1. Life is to make more centered around trying to automate than finding a mate. My Job is to facilitate developers and make their life easier.Motto : Learn and Have Fun with technologies!

Experience

1. Data Platform Engineer

   Forbes Advisor

   Oct 2024 — Present · Mumbai, IN

   Scaled with a high-performing team of data engineers delivering reliable ETL/ELT pipelines, data warehousing solutions, and ML-ready datasets across multiple business domains- Established and enforced strong engineering best practices around code reviews, automated testing, observability, monitoring, and technical documentation- Designed and guided data platform architecture on Google Cloud Platform (BigQuery, GCS, Composer) to support scalable analytics, attribution, and experimentation workloads- Built, modeled, and transformed analytics-ready datasets using dbt and SQL, enabling accurate reporting, marketing attribution, and performance optimization- Developed and maintained batch and streaming data pipelines using Python, Spark, Kafka, and Airflow, ensuring high reliability and performance at scale- Partnered cross-functionally with Analytics, BI, Revenue Operations, Marketing, and Sales teams to translate business requirements into robust data solutions- Ensured data security, privacy, and governance, implementing controls and best practices for managing and segmenting first-party customer data in compliance with regulations- Collaborated with BI and Data Science teams to support dashboards, experimentation, and ML workflows, with exposure to tools such as Looker/Tableau and digital marketing data sources (Google Ads, Meta, GA4).

Education

• Fr Conceicao Rodrigues College of Engineering Band Stand Bandra (West) Mumbai 400 050

  Bachelor of Engineering - BE, Information Technology

  2018 — 2022

• New English School Nandgoan-Manu, Karad, Sangli

  HSC 12th, Information Technology

• Nazara Vidyamandir Prashala, Nazara

  SSC 10th, Maharashtra Board