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gameofdatas/README.md

πŸ‰ The Engineer Who Knows Data | Rahul Singh 🐺

Welcome to my domain, where Data Engineering meets the Seven Kingdoms! Just like the great lords and ladies of Westeros, I craft robust and scalable systems to rule over the vast oceans of data. Every byte and pipeline here serves the realm of distributed systems, real-time data processing, and backend development.


πŸ‘‘ About Me | A Data Engineer's Journey

  • πŸ”₯ House of Data: Forged in the fiery pits of Apache Kafka and Spark, my expertise lies in building real-time pipelines, scalable data lakes, and distributed systems.
  • 🌌 Guardian of Infrastructure: Commanding the clouds with AWS and GCP, deploying Terraform, and orchestrating fleets of containers with Kubernetes.
  • πŸ§™ Wizard of Code: Fluent in the sacred tongues of Golang, Scala, and Python to bring order to the chaotic realms of data.
  • πŸ›‘οΈ Protector of Privacy: Ensuring data governance and GDPR compliance with meticulous workflows and automation.
  • 🎯 Champion of Challenges: From taming wild streams of real-time data to building fault-tolerant systems, I bring scalable solutions to the throne.

βš”οΈ Technologies & Skills

πŸ› οΈ Tools of the Trade

  • 🏹 Programming Languages: Golang Scala Python SQL
  • 🏰 Data Engineering: Kafka Spark Airflow Hudi
  • πŸ›‘οΈ Cloud & Orchestration: AWS GCP Kubernetes Docker
  • πŸ”§ Backend Development: Gin Fiber RabbitMQ gRPC

πŸ† Strengths That Rule the Realm

  • Data Engineer: Master of ETL/ELT, data modeling, and real-time pipelines.
  • Problem Solver: Unwavering in taming unruly systems and conquering data challenges.
  • Cloud Architect: Scaling castles in the clouds for high availability and performance.
  • Tech Leader: Leading teams to victory, fostering collaboration, and driving impactful solutions.

🌟 Key Projects | Tales of My Realm

πŸ›‘οΈ RaftBadger

  • A distributed key-value store built with Raft consensus and BadgerDB, ensuring fault tolerance and high availability.
  • Repository Link

πŸ‰ Datalake

  • Built a local data lake using Apache Hudi and Debezium for efficient CDC processing.
  • Repository Link

πŸ›‘οΈ Fake Data Producer

  • Created a powerful tool to generate synthetic data for testing and development purposes.
  • Repository Link

βš”οΈ Order Book

  • Designed a system to process and analyze financial order book data, enabling real-time trading insights.
  • Repository Link

πŸ“ˆ GitHub Stats | The Power Behind the Throne

GitHub Stats Top Languages


πŸ“ Words of Wisdom | Blog Chronicles

I share my journey through the Seven Kingdoms of Data on Medium. From conquering the Kafka Streams to designing GDPR-compliant architectures, the chronicles are open for all who seek wisdom.


πŸ—ΊοΈ Let’s Connect | Allies of the Realm


"The night is dark and full of data, but with the right pipelines, we bring the light."

Pinned Loading

  1. fake-data-producer fake-data-producer Public

    Go 1

  2. datalake datalake Public

    datalake in local machine

    Shell 2 1

  3. caching caching Public

    In-memory caching Eviction Algorithm

    Go

  4. orderbook orderbook Public

    Order Book Programming Problem

    Go 3

  5. raftbadger raftbadger Public

    distributed key-value store that combines Raft consensus

    Go

  6. ridetrends ridetrends Public

    spark scala project to produce ride trends

    Scala