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Gunabhirambilla/README.md

About

I'm a Data & Analytics Engineer based in New York City. I work in the middle layer — between source systems that emit data and the dashboards that consume it. Across 50+ production projects, I've designed multi-tenant Snowflake warehouses serving 60+ customer-facing dashboards, automated reporting workflows that compressed two-day Mondays into 8 a.m. emails, and reconciliation frameworks that catch mismatches before finance closes the books.

If a pipeline ran at 3 a.m. and nobody noticed, that's the goal.

What I work with

Warehouses    Snowflake · BigQuery · Databricks
Languages     SQL · Python · Bash
Modeling      Star schema · SCD Type 2 · Multi-tenant patterns
Pipelines     Idempotent ETL · Watermark tracking · Merge upserts
BI            Tableau · Power BI · Amazon QuickSight
Cloud         AWS · Azure · GCP
Other         dbt · Git · REST API ingestion · Excel/Word automation

Currently

  • 🏗️ Designing layered Snowflake architectures for multi-tenant healthcare analytics
  • ✍️ Writing technical essays on data modeling, pipelines, and governance (8 published)
  • 🎯 Open to senior data engineer roles — hybrid or remote

Pinned Projects

The repos pinned below show the public surface of my work. Most of my production code lives in private company instances, so the portfolio site has the deeper case studies — challenges, architecture decisions, measurable outcomes.

Read my technical writing

I publish field notes on the data engineering patterns I keep reaching for:


Open to opportunities · Based in NYC · Available for hybrid or remote
$ say_hi

Pinned Loading

  1. LinkedIn_Profile_Analysis LinkedIn_Profile_Analysis Public

  2. Sales_Analysis_Dashboard Sales_Analysis_Dashboard Public

    Visualization of Super Store Dataset sales analysis using Power BI

  3. T20_World_Cup_Data_Analysis_with_MYSQL T20_World_Cup_Data_Analysis_with_MYSQL Public

  4. US_Wildlife_predictions US_Wildlife_predictions Public

  5. Forecasting_Data_Models_for_superstore_data_using_python Forecasting_Data_Models_for_superstore_data_using_python Public

    Forecasting Data Models for Super Store Data Set using python libraries

    Jupyter Notebook

  6. Data_Analysis_with_python- Data_Analysis_with_python- Public

    IPL DATA SET ANALYSIS WITH PYTHON LIBRARIES

    Jupyter Notebook