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aksingh4545/README.md
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👋 A bit about me

I work at the intersection of data engineering, cloud platforms, and real-time systems.

Most days: designing predictable pipelines, taming messy data, tuning Spark jobs, or thinking about how systems behave at scale.

I value systems that are:

  • predictable
  • observable
  • easy to maintain & reason about

Silence helps me focus. Clean logs make me happy. Calm infrastructure > shiny complexity.

🧠 Skills & Technologies

Core skills icons

Web & scripting icons (used occasionally)

Core Data Stack (daily drivers)

  • Python, SQL, PySpark
  • MySQL / PostgreSQL / Snowflake
  • Pandas & data wrangling
  • AWS (S3, Glue, Lambda, EMR), Azure (Data Factory, Databricks)
  • Airflow / dbt (orchestration & transformation)

Streaming & Scale

  • Kafka / Event Hubs
  • Spark / Databricks (exploring internals & perf tuning)
  • Docker & basic infra automation

When needed

  • FastAPI / Streamlit for data apps
  • React / TS / JS for quick UIs

🔭 What I’m working on right now

  • Streamlit apps connected to AWS S3 for quick data exploration
  • Batch & near-real-time pipelines with Python + SQL
  • Diving deeper into Azure Databricks, PySpark, Kafka → event-driven processing
  • Building cleaner, more maintainable data workflows

🌱 Currently learning / leveling up

  • Advanced data modeling for analytics & warehouse workloads
  • Spark internals, partitioning, broadcast joins, memory tuning
  • Event-driven architectures & reliable message queues
  • Writing better docs & diagrams for data systems (Mermaid / Excalidraw)

🤝 Connect with me

     

GitHub Streak

Building calm data systems • One reliable pipeline at a time • 2026

Pinned Loading

  1. image_resize image_resize Public

    This project implements an event-driven, serverless image processing pipeline on AWS. Images uploaded to Amazon S3 are automatically resized using AWS Lambda and Pillow, stored in a destination buc…

    Python 4 1

  2. streamlit_s3_pipeline streamlit_s3_pipeline Public

    The system supports real-world resumes (PDF, DOCX, TXT), handles noisy formats, and follows industry-grade data engineering practices.

    Python 3 1

  3. Login_Cognito Login_Cognito Public

    This repo about how to use AWS Congito fully managed services with streamlit application.

    Python 2 2

  4. flink-kafka flink-kafka Public

    This repository is all about working with flink with docker, and real time ingestion of data from kafka and processed in real time on Flink

  5. kafka-project kafka-project Public

    In repository i have one project that read the data from csv file and store it in the output.csv file , python create streaming of data and kafka do will streaming that

    Python

  6. mlflow_pipeline mlflow_pipeline Public

    An end-to-end Machine Learning + MLOps project that predicts a student’s final performance percentage using a production-ready ML pipeline, MLflow model registry, FastAPI inference service, and Doc…

    Python