SRIVATSAV009 (SAI SRIVATSAV DHARINI) · GitHub
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SRIVATSAV009/README.md

👋 Hi, I'm Sai Srivatsav Dharini

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🚀 Senior Data Engineer | Cloud-Native | Distributed Systems | AI-Augmented Platforms

I design and build scalable, production-grade, cloud-native data platforms across AWS, Azure, and GCP.
Specialized in distributed processing, real-time ingestion, and modern lakehouse architectures.

🌍 About Me

  • 🔹 4+ years of experience in Data Engineering & Analytics
  • 🔹 Expertise in AWS, Azure & Snowflake ecosystems
  • 🔹 Strong in Spark, PySpark, Delta Lake & distributed systems
  • 🔹 Experience in Financial & Healthcare domains
  • 🔹 Passionate about scalable, fault-tolerant data architectures
  • 🔹 Focused on AI-integrated data engineering workflows

🛠️ Core Data Engineering Stack

☁️ Cloud Platforms

Commit changes

AWS Azure GCP

🔄 Data Processing & Lakehouse

Apache Spark PySpark Databricks Delta Lake AWS Glue

🗄️ Data Warehousing & Analytics

Snowflake Amazon Redshift BigQuery

🔁 Streaming & Orchestration

Kafka AWS Kinesis Apache Airflow AWS Step Functions

💻 Programming & Querying

Python SQL Scala

🧰 DevOps & Infrastructure

Terraform CI/CD Docker GitHub Actions

🏗️ Architecture Specialization

  • Serverless ETL & ELT pipelines
  • Lakehouse (Bronze / Silver / Gold) Architecture
  • Incremental & CDC ingestion patterns
  • Near real-time streaming pipelines
  • Distributed Spark optimization
  • Columnar storage (Parquet / Delta)
  • Data contracts & governance
  • Infrastructure as Code (IaC)
  • AI & LLM integration in data workflows

📊 GitHub Analytics

GitHub Stats

GitHub Streak

Activity Graph

🚀 Currently Building

  • 🔹 Real-time Retail Analytics Platform
  • 🔹 AI-Augmented Data Pipelines
  • 🔹 Snowflake Lakehouse Implementations
  • 🔹 End-to-End Cloud Data Engineering Projects

📫 Connect With Me

LinkedIn Email

⚡ Engineering Philosophy

Build scalable.
Automate everything.
Optimize performance.
Design for failure.
Think distributed.

⭐ If you like building scalable data systems, let’s connect.

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  1. Serverless-ETL-Pipeline-using-AWS-Lambda-and-Snowflake Serverless-ETL-Pipeline-using-AWS-Lambda-and-Snowflake Public

    Serverless ETL pipeline using AWS Lambda, Glue (Spark), S3, Step Functions, and Snowflake with Snowpipe for automated, scalable job data ingestion.

    Python 1

  2. Adventure-Works-Sales-Data-Analysis-2019 Adventure-Works-Sales-Data-Analysis-2019 Public

    End-to-end sales data analysis using star schema modeling, SQL data warehouse design, and Power BI dashboards for KPI-driven insights.

    TSQL 1

  3. vehicle_insurance_fraud_detection vehicle_insurance_fraud_detection Public

    Vehicle Insurance Fraud Detection: An ML classification project to flag suspicious claims (staged accidents, phantom passengers, false injury) using historical claims data and feature engineering.

    Jupyter Notebook 1

  4. Ipl-Data-Analytics Ipl-Data-Analytics Public

    Data analysis of iPhone pricing, discounts, and customer ratings on Flipkart. Built with Python & Pandas. Explores pricing strategies across 62 products with actionable insights

    Jupyter Notebook

  5. data-engineering-portfolio data-engineering-portfolio Public

    Python