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alex-nettekoven/README.md

๐Ÿ‘‹ Hello, I'm Alexander Nettekoven

Typing SVG

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๐Ÿš€ About Me

I'm a Senior Data Engineer with 12+ years of experience designing scalable data platforms, ETL/ELT pipelines, and advanced analytics solutions across healthcare, e-commerce, advertising, and gaming industries. I specialize in building robust data infrastructure that empowers organizations to make data-driven decisions at scale.

Data Engineering Animation

๐ŸŽฏ Current Focus

  • ๐Ÿ”ง Building ETL/ELT pipelines with Airflow, dbt, and Snowflake
  • โ˜๏ธ Designing cloud-native data platforms on AWS and Google Cloud
  • ๐Ÿ“Š Implementing real-time streaming with Kafka and Spark
  • ๐Ÿ—๏ธ Creating data governance frameworks and quality controls

๐Ÿ† Key Achievements

  • โšก 40% reduction in ad-hoc reporting requests through self-serve analytics
  • ๐Ÿ’ฐ 30% infrastructure cost reduction via BigQuery and Databricks migration
  • ๐Ÿ“ˆ 60% faster analysis cycles through automated reporting workflows
  • ๐Ÿ” $2M+ cost savings identified through anomaly detection in healthcare data

๐Ÿ› ๏ธ Technology Stack

Data Engineering & ETL/ELT

Airflow dbt Snowflake Kafka Spark

Programming & Databases

Python SQL PostgreSQL Oracle MySQL

Cloud Platforms & Big Data

Google Cloud AWS BigQuery Redshift Databricks

Analytics & Visualization

Tableau Power BI Looker Pandas NumPy

DevOps & Tools

Docker Kubernetes Git Lambda


๐ŸŽฏ Featured Data Engineering Projects

๐Ÿ—๏ธ Enterprise HRIS Data Platform

ETL/ELT pipelines consolidating workforce data

Tech Stack: Airflow, dbt, Snowflake, Python

  • ๐Ÿ“Š Consolidated payroll & engagement data
  • ๐Ÿ” GDPR-compliant data governance
  • ๐Ÿ“ˆ Executive dashboards for HR analytics

โšก Real-time Gaming Analytics

Streaming pipelines for transaction processing

Tech Stack: Kafka, Spark, BigQuery, Docker

  • ๐Ÿ’ฐ Billions of gaming transactions processed
  • ๐Ÿšจ Real-time fraud detection & anomaly alerts
  • ๐Ÿ“Š Instant analytics for player interactions

๐Ÿš€ Google Ads Feature Store

Real-time ML feature engineering platform

Tech Stack: TFX, Kubeflow, Dataflow, GCP

  • โšก 40% faster model delivery time
  • ๐Ÿ“ˆ Clickstream & campaign data processing
  • ๐Ÿ” Multi-geography drift detection

๐Ÿฅ Healthcare Data Warehouse

Claims processing & analytics platform

Tech Stack: AWS Redshift, Python, Tableau

  • ๐Ÿ’ฐ $2M+ cost savings through anomaly detection
  • ๐Ÿ“‹ Clinical notes NLP analysis
  • ๐Ÿ“Š Provider performance monitoring

๐ŸŒŸ Core Expertise

๐Ÿ”ง Data Engineering

  • ETL/ELT Pipelines with Airflow, dbt, and Snowflake
  • Real-time Streaming using Kafka and Spark
  • Cloud Data Platforms on AWS and Google Cloud
  • Data Governance and quality frameworks

๐Ÿ“Š Analytics & Visualization

  • Executive Dashboards in Tableau and Power BI
  • Self-serve Analytics tools and platforms
  • Statistical Analysis and reporting automation
  • A/B Testing and experimentation frameworks

โ˜๏ธ Cloud & Infrastructure

  • BigQuery, Redshift, Databricks optimization
  • Containerization with Docker and Kubernetes
  • Infrastructure as Code and DevOps practices
  • Cost Optimization and performance tuning

๐Ÿค Let's Connect!

I'm passionate about Data Engineering, Analytics, and building scalable data platforms. Whether you're interested in discussing ETL/ELT best practices, cloud data architecture, or collaboration opportunities, I'd love to connect!

๐Ÿ“ฌ Contact Information

LinkedIn Email Phone GitHub

๐Ÿ“ Location: Austin, TX
๐Ÿ“ž Phone: +1 (929) 233-9976
โœ‰๏ธ Email: alexandernettekoven325@gmail.com

๐ŸŒŸ What I'm Currently Excited About

  • ๐Ÿ”ฎ Modern Data Stack and its evolution
  • ๐Ÿš€ DataOps and automated data pipeline testing
  • ๐Ÿ“Š Real-time analytics and streaming architectures
  • ๐ŸŒ Data mesh and decentralized data platforms

"Data is the new oil, but data engineering is the refinery that makes it valuable."

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  1. ETL-Snowflake-DBT-DataMeetup ETL-Snowflake-DBT-DataMeetup Public

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  2. Movie-Ratings-ETL Movie-Ratings-ETL Public

    ELT Project | Data modeling with dbt for Movie Ratings, developed and deployed inside Docker.

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  3. ETL-Pipeline-Retail-Data-Analytics ETL-Pipeline-Retail-Data-Analytics Public

    Retail Data Analytics | Airflow, dbt, BigQuery โ€ข Automated ETL from GCS to BigQuery and optimized transformations with dbt for faster, cleaner data.

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  4. ETL-Azure-SF-Pipeline ETL-Azure-SF-Pipeline Public

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  5. Snowflake-ETL-Pipeline Snowflake-ETL-Pipeline Public

    An end-to-end ETL pipeline using Python to generate sales data and load it into a Snowflake data warehouse.

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  6. ETL-Pipeline-Databrick-Snowflake ETL-Pipeline-Databrick-Snowflake Public

    ELT Pipeline with Databricks, Python and Snowflake

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