Prathamesh Mawlankar

Experience

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  Rajvimal Group of Engineering Services

  Sept 2019 - Mar 2020

  Engineering Intern

  Successfully completed internship at the company and also created basic data pipeline using Python, Pandas & SQLalchemy to move local csv engineering projects data to SQL(RDBMS).

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  SMARTe

  Sept 2021 - Dec 2021

  Associate Software Engineer

  ● Experience as a Associate Software Engineer.● Hands on with Python and Java● Hands on with database management systems with SQL.● Hands on CI/CD using Git/GitLab.

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  Bitwise Inc

  Dec 2021 - Mar 2023

  Programmer Analyst

  Client - Global Payments Inc. (A Forbes 500 fintech company)● Experience as a Programmer Analyst.● Experience with Google Cloud Storage & Google Compute Engine. ● Experience with Google BigQuery (Data Warehousing Tool)● Experience with ETL pipelines/jobs using Python, SQL and GCP cloud services.● Experience with SSH (Secure Shell/Bash Scripting) for GCP.● Experience in managing and developing services using GCP console.● Experience in working in projects using Agile Methodologies and using project management tools like Jira.● Experience in using data storage buckets like Google Cloud Storage.● Experience with Apache Airflow for work flow orchestration and managing DAGS.● Experience with CI/CD using Git/GitHub.● Experience in creating RESTful API using Java & Spring Boot.● Experience in adhering to client requirements while working on the agile sprints.● Experience in gathering information and creating documentation according to the client requests and requirement for the new features of the web application. Show less

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  Fractal

  Mar 2024 - now

  Cloud Data Engineer

  Currently working as Data Engineer. Have gained experience working for a Forbes 500 Client - Proctor & Gamble● Was a part of a MLOps project for P&G Japan region● Worked with the P&G media and marketing data● Built pipelines using GCP Vertex AI● Modified an older ML data pipeline which was only getting APAC region data to include Japan region data as well● Built an ETL pipeline in Python with Sharepoint directory as the source and BigQuery as the destination using Vertex AI● Documented the modified pipeline changes using Confluence Show less