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  • RedHat
  • Raleigh NC
  • 07:29 (UTC -12:00)

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pramodtoraskar/README.md

Pramod Toraskar - Resume

πŸ‘‹ Hi there! I'm Pramod Toraskar, a highly skilled Principal Data Engineer at Red Hat, with over 14 years of experience in IT. I specialize in Data Engineering, AI, and Machine Learning, driving digital transformations through cutting-edge cloud technologies and data pipelines. My technical expertise and leadership have consistently delivered innovative and scalable solutions across multiple industries.

πŸ’Ό Professional Summary

I have built my career working across various data-centric roles, with a focus on:

  • Data Engineering: Designing robust, scalable ETL pipelines, implementing data architectures, and automating workflows to streamline business processes.
  • Cloud & Big Data Solutions: Extensive experience working with AWS (S3, EC2, RDS), Snowflake, Starburst, and various data warehousing and cloud platforms.
  • AI & Machine Learning: Proven expertise in integrating ML models into production environments and creating AI-driven solutions for data insights and process optimization.
  • Cross-Functional Collaboration: Working closely with cross-functional teams, including Marketing, Sales, and IT, to drive data strategy and deliver business value.

πŸ›  Key Skills

  • Programming: Python, SQL, JavaScript, Shell scripting
  • Cloud Platforms: AWS (S3, EC2, RDS), GitLab, GitLab Innersource
  • Data Tools: Snowflake, Fivetran, dbt, Apache Airflow (Astrocloud), Starburst
  • Marketing & Sales Tools: Marketo, Salesforce, HG Insights, Datorama, Bombora, Eloqua, Outreach
  • Development & Collaboration: CI/CD, DevOps, Jira, Confluence, Slack
  • AI & Machine Learning: Working with large language models (LLMs), developing machine learning models, and integrating them into data products.

🌟 Key Projects

1. Marketo to Snowflake Data Flow

  • Tech Stack: Fivetran, dbt, Snowflake
  • Description: Built a data pipeline to sync marketing data from Marketo into Snowflake using Fivetran and transformed it with dbt for optimized analytics and reporting.

2. Hela Project - GitLab CEE Migration

  • Tech Stack: GitLab, Git, CI/CD
  • Description: Led the migration of Git repositories and CI/CD pipelines from legacy platforms to GitLab CEE, ensuring a smooth transition and resolving blockers related to CI/CD configurations.

3. Hela Domino AAM ETL Migration to AWS

  • Tech Stack: AWS, Adobe Audience Manager, Starburst
  • Description: Developed an ETL pipeline to pull data from Starburst tables, format it, and push to Adobe Audience Manager S3 buckets, eliminating dependency on legacy systems.

4. Snowflake Data Products Development

  • Tech Stack: Snowflake, dbt, Marketo, Salesforce, HG Insights
  • Description: Designed and developed source-line and aggregated data products, integrating multiple third-party data sources into Snowflake for advanced analytics.

5. Fluvii

  • Repository: Fluvii GitHub Repo
  • Description: Contributed to the development and maintenance of Fluvii, a powerful data management solution used for streamlining data operations.

6. qlikreader

  • Repository: qlikreader GitHub Repo
  • Description: Built a tool to read and process data from Qlik dashboards, simplifying data extraction for business intelligence purposes.

7. python-outreach

  • Repository: python-outreach GitHub Repo
  • Description: Developed a Python-based solution to interact with the Outreach API for automating CRM tasks and managing sales data efficiently.

8. dwm

  • Repository: dwm GitHub Repo
  • Description: Customized and extended the dynamic window manager (dwm) for personal productivity and optimized workflow in a Unix environment.

πŸ† Achievements

  • Rotating Facilitator - Sprint 7, Q4 2024: Demonstrated leadership in sprint facilitation to drive effective communication and goal achievement across teams.
  • CI/CD Optimizations: Improved CI/CD pipelines for GitLab and various marketing-related projects, ensuring efficient deployment processes and reduced system downtimes.
  • Data Governance Initiatives: Worked on significant governance projects related to personal identifiable information (PII) migration to non-production environments, ensuring compliance and data integrity.

πŸš€ Career Goals

I am committed to continuous innovation and expanding my expertise in:

  • Advanced AI and Quantum Computing: Exploring the intersection of AI with quantum technologies to drive the future of data science.
  • Data Science and Machine Learning: Deepening my knowledge in machine learning applications for predictive analytics and automation.
  • Leadership & Patents: Aiming to lead groundbreaking projects in data-driven digital transformation and obtain patents for innovative solutions in AI and data engineering.

πŸ“« Contact Information

Thank you for visiting my GitHub! Feel free to reach out for potential collaborations, mentorship, or just to talk about data and AI!

Pinned Loading

  1. Python-Learning Python-Learning Public

    Introduction to Python Programming

    Python 6 5

  2. pune.pycon.org pune.pycon.org Public

    Forked from PyConPune/pune.pycon.org

    HTML

  3. python-omniture python-omniture Public

    Forked from colemanja91/python-omniture

    A high-level Python wrapper for the Adobe Omniture API.

    Python

  4. pypathfactory pypathfactory Public

    Python wrapper functions for PathFactory REST APIs

  5. rh-marketingops/fluvii rh-marketingops/fluvii Public

    A kafka streams client library built on confluent-kafka-python

    Python 67 5

  6. rh-marketingops/qlikreader rh-marketingops/qlikreader Public

    Python 1