Hello, Data Engineering World!

“Data is the new oil, but like oil, it’s valuable only when refined.”

I’m a Python Big Data Software Developer passionate about building scalable data pipelines and distributed systems. I transform raw data into actionable insights through elegant and efficient solutions.

🛠️ Tech Arsenal

Core Technologies

Big Data & Streaming

Data Processing Frameworks: Apache Spark, Hadoop Ecosystem
Stream Processing: Spark Streaming, Real-time Analytics
Data Warehousing:
- Columnar Stores (Parquet, ORC)
- MPP Databases
- Data Lakes Architecture

Infrastructure & DevOps

Containerization: Docker, Kubernetes
Cloud Platforms: AWS/GCP Infrastructure
CI/CD: GitLab, GitHub Actions
IaC: Terraform

Database Technologies

Relational: PostgreSQL, MySQL
Vector DBs: Pinecone, FAISS,

💡 Featured Projects

Data Pipeline Orchestra

Orchestrating harmony in chaos

Built a fault-tolerant data pipeline processing 1TB+ daily
Reduced processing time by 60% through optimization

Implemented real-time monitoring and alerting

def process_data(spark_session, data_source):
  return (spark_session.read
          .format("delta")
          .load(data_source)
          .transform(clean_data)
          .transform(enrich_data))

Scale Master

Because size matters in this particular case

Designed horizontal scaling architecture
Handles 10K+ events per second
99.99% uptime achievement

📈 Performance Metrics

graph LR
    A[Raw Data] -->|Ingest| B(Clean)
    B --> C{Transform}
    C -->|Stream| D[Real-time Analytics]
    C -->|Batch| E[Data Warehouse]
    D --> F[Insights]
    E --> F

🌱 Current Learning Journey

Exploring LLMs for agentic applications
Diving deep into MLOps, like monitoring said LLMs
Studying distributed systems patterns

🎯 Professional Philosophy

I believe in:

Writing self-documenting code
Building systems that scale horizontally
Monitoring everything that moves
Testing until it breaks

📫 Let’s Connect!

Tech Blog