About me

Hi, I’m Saketh Maddali, a passionate and purpose-driven Data Engineer with 2+ years of hands-on experience in building scalable data pipelines and cloud-based architectures. I thrive at the intersection of engineering, analytics, and real-world impact — where raw data is transformed into decision-ready insight.

I specialize in designing and deploying end-to-end data pipelines on Google Cloud Platform (GCP). My work typically involves orchestrating workflows using Airflow (Cloud Composer), transforming raw APIs via Cloud Functions, and optimizing data models in BigQuery. Every project I take on aims to make data not just available, but powerful and actionable for business users.

What I'm Doing

  • Data Engineering

    Data Engineering

    Designing and building scalable pipelines using GCP, Airflow, and BigQuery.

  • ETL Automation

    ETL & Workflow Automation

    Automating data ingestion and processing workflows using Python and Airflow DAGs.

  • Machine Learning

    Machine Learning

    Building ML models to classify, predict, and generate insights from raw data.

  • Data Visualization

    Data Analysis & Visualization

    Visualizing trends and insights with Python, SQL, Pandas, and dashboard tools.

Testimonials

  • Dinesh Singh Jat

    Project Manager - Dinesh Singh Jat

    “I've worked with many engineers, but Saketh stands out. He’s extremely solid in GCP architecture, especially around Airflow orchestration and BigQuery modeling. What impressed me most is how quickly he grasped complex system designs and made them more efficient with practical solutions. He’s a natural problem solver.”

  • Nikhitha

    Peer Developer - Nikhitha

    “Saketh was always the go-to person when something broke or needed optimization. He’s super collaborative and always ready to help the team debug issues, explain concepts clearly, and even mentor juniors. Working with him was not just productive — it was inspiring.”

  • Anusha Reddy

    Senior Data Architect - Anusha Reddy

    Saketh is one of those rare engineers who not only delivers high-quality pipelines but also deeply understands the business impact behind the data. His ownership, attention to detail, and ability to quickly adapt to our ever-changing requirements made him an irreplaceable part of our team. It was a joy managing him at Brightspeed

  • Aman

    Business Analyst – Aman

    “Thanks to Saketh’s data pipelines, our reporting turnaround time reduced by nearly 60%. He made data accessible, reliable, and real-time — which directly improved decision-making across teams. His ability to bridge technical work with business needs is a real strength.”

Clients

Resume

Education

  1. Vasireddy Venkatadri Institute Of Technology

    2019 — 2023

    Bachelor of Technology in Computer Science
    CGPA: 9.07 / 10.0

  2. Narayana Junior College

    2017 — 2019

    Intermediate - MPC
    CGPA: 10.0 / 10.0

  3. Sri Gowthami Smart School

    2016 — 2017

    Secondary School Certificate (SSC)
    CGPA: 10.0 / 10.0

Experience

  1. Data Engineer — Tech Mahindra (Client: Brightspeed)

    Sep 2023 — Present

    Spearheaded the development of robust, production-grade data pipelines on Google Cloud Platform (GCP), enabling seamless ingestion from APIs, PostgreSQL, and multiple external systems.

    Engineered high-performance DAGs in Apache Airflow, cutting down processing time by over 50% via parallelization and dynamic task management.

    Led the full automation of ETL pipelines using Python and Shell scripting, significantly reducing manual errors and eliminating bottlenecks in reporting cycles.

    Built efficient BigQuery data models and warehouse structures that powered real-time dashboards, enabling C-level executives to access decision-critical insights instantly.

    Proactively implemented validation layers and alerting mechanisms, ensuring 99.9% data accuracy and maintaining SLA-bound deliveries in a fast-paced enterprise environment.

    Collaborated closely with cross-functional teams (product, analysts, infra) to deliver scalable and secure cloud-native data solutions aligned with Brightspeed's digital transformation goals.

Featured Projects

  1. Drowsiness Detection System

    Published Project

    Developed a real-time driver safety system using Computer Vision and Convolutional Neural Networks (CNNs) to detect drowsiness based on eye closure and facial fatigue cues.

    Leveraged Haar Cascades for face/eye detection and CNNs for deep feature analysis — ensuring accurate detection across varied lighting conditions and backgrounds.

    The project was officially published in a research journal for its innovation in safety-critical ML applications — a testament to both technical depth and societal impact.

    Tools/Tech: Python, OpenCV, CNN, Haar Cascades, Research Writing

  2. Student Management Portal

    End-to-End Full Stack Application

    Built a dynamic education portal enabling teachers to upload learning materials and students to access personalized academic content.

    Developed the frontend (HTML, CSS, JavaScript) and backend (Python Flask) entirely from scratch, demonstrating strong full-stack development skills.

    Features include authentication, course CRUD, role-based access, and a clean, responsive UI for seamless user experience.

    Tools/Tech: Flask, Python, HTML, CSS, JavaScript, SQLite

My skills

  • Python
    90%
  • SQL
    90%
  • Java
    70%
  • GCP
    95%
  • Microsoft Fabric
    80%
  • Flask
    80%
  • Web Design
    80%

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