Pinni Praneeth Kumar

Hi, I'm Pinni Praneeth Kumar.

Senior Data Engineer building ML pipelines and GenAI solutions.

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Based in India • Open to roles

About

Senior Data Engineer with 3.10+ years of experience architecting and deploying scalable ML pipelines on AWS and Azure, accelerating the ML lifecycle from data ingestion to production deployment. Skilled in automating end-to-end ML pipelines. Proficient in Python, SQL, CI/CD, Docker, and model deployment at scale. Experienced in GenAI, LLMs, and prompt engineering to drive intelligent automation.

  • Proficient: Python, SQL, CI/CD, Docker, model deployment
  • Experienced: Generative AI, LLMs, RAG, Prompt Engineering
  • Cloud: AWS and Azure for scalable data/ML systems

Skills

Programming Languages

SQL Python

Tools

MySQL Oracle SQL Developer MongoDB Cloud (AWS, Azure) Tableau GitHub MLFlow (Model Tracking) SageMaker Azure ML Studio Vertex AI

Others

MLOps CICD Model Monitoring Deep Learning Generative AI LLMs RAG Agents Prompt Engineering Big Data Data Analytics

Projects

Streamlining Auto Vehicle Pricing through MLOps (June 2024 – September 2024)

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  • Built and deployed an end-to-end MLOps pipeline on Azure ML using GitHub Actions and Python, automating data processing, model training, evaluation, and CI/CD — reducing model deployment time by 60% and enabling weekly retraining cycles for dynamic vehicle pricing.
  • Developed a scalable pricing model by integrating over 1 million records from multiple data sources using SQL, enabling real-time pricing updates that reflected evolving market trends.
  • Improved pricing accuracy by 25% and cut manual processing time by 70% through workflow automation, significantly enhancing operational decision-making speed.
  • Implemented a unified MLOps-driven system with scalable endpoint deployment, supporting 24/7 availability and handling 1000+ pricing requests per day with <200ms inference latency.
  • Delivered a production-ready pricing solution that increased dealership revenue by 4.8%, improved customer trust scores by 15%, and strengthened cross-functional team collaboration.
  • Azure ML
  • GitHub Actions
  • Python
  • SQL
  • MLOps

Intelligent Reporting on Azure (January 2023 – March 2023)

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  • Developed an automated analytical pipeline using Python, SQL, and Azure ML to preprocess trip data, ensuring data consistency and accuracy for further analysis.
  • Created interactive dashboards with Streamlit, hosted on Hugging Face Spaces, to visualize key business metrics like total revenue and trip categories, improving data accessibility and decision-making.
  • Implemented an email alert system using automation scripts, enabling real-time notifications with summaries of insights and dashboard links, enhancing stakeholder communication and decision-making efficiency.
  • Streamlined data workflows by integrating Azure ML for data storage, preprocessing, and pipeline management, improving collaboration, scalability, and operational efficiency.
  • Azure ML
  • Python
  • SQL
  • Streamlit
  • Hugging Face Spaces

Experience

Senior Data Engineer • Great Learning Bangalore Urban

Jan 2022 — Present
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  • Led end-to-end development of scalable machine learning solutions, driving business impact by transforming raw data into actionable insights across product, marketing, and operations teams.
  • Designed and deployed advanced predictive models and statistical frameworks using Python, SQL, and cloud platforms (AWS/Azure/GCP), resulting in measurable improvements in customer retention, conversion, or efficiency.
  • Mentored junior data scientists and analysts, fostering a culture of experimentation, code quality, and reproducible research through peer reviews, knowledge sharing, and hands-on guidance.
  • Led the design and delivery of 5 successful AI/ML-powered products, driving innovation across data science, machine learning, and automation use cases—contributing to a 5% increase in overall company revenue and operational growth.

Data Analyst • FSP Solutions Pvt Ltd Noida, Delhi

Jun 2021 — Oct 2021
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  • Partnered with development teams to deliver groundbreaking solutions, providing expert consultation and driving execution to achieve tangible impact.
  • Transformed existing information architectures through in-depth analysis and innovative design, developing optimized solutions that elevate data management.

Education

  • Grandhi Varalakshmi Venkatarama Institute of Technology • 81.4%

    B.Tech in Mechanical Engineering • Bhimavaram, AP • 2020
    Honors: Academic Merit Award • Projects: Go‑Kart (Open type wheel car)

  • Grandhi Varalakshmi Venkatarama Institute of Technology • 82.07%

    Diploma in Mechanical Engineering • Bhimavaram, AP • 2017
    Projects: Dual Tone Multi Frequency Robot

Contact

Feel free to reach out for roles, collaborations, or just to say hi.

Email Me Download Resume LinkedIn GitHub Ph: 8309116050
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