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alex-nettekoven/README.md

👋 Hello, I'm Alexander Nettekoven

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🚀 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

🎯 Current Focus

  • 🔧 Building ETL/ELT pipelines with Airflow, dbt, and Snowflake
  • ☁️ Designing cloud-native data platforms on AWS and Google Cloud
  • 📊 Implementing real-time streaming with Kafka and Spark
  • 🏗️ Creating data governance frameworks and quality controls

🏆 Key Achievements

  • 40% reduction in ad-hoc reporting requests through self-serve analytics
  • 💰 30% infrastructure cost reduction via BigQuery and Databricks migration
  • 📈 60% faster analysis cycles through automated reporting workflows
  • 🔍 $2M+ cost savings identified through anomaly detection in healthcare data

🛠️ 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


��� Featured Data Engineering Projects

🏗️ Enterprise HRIS Data Platform

ETL/ELT pipelines consolidating workforce data

Tech Stack: Airflow, dbt, Snowflake, Python

  • 📊 Consolidated payroll & engagement data
  • 🔍 GDPR-compliant data governance
  • 📈 Executive dashboards for HR analytics

⚡ Real-time Gaming Analytics

Streaming pipelines for transaction processing

Tech Stack: Kafka, Spark, BigQuery, Docker

  • 💰 Billions of gaming transactions processed
  • 🚨 Real-time fraud detection & anomaly alerts
  • 📊 Instant analytics for player interactions

🚀 Google Ads Feature Store

Real-time ML feature engineering platform

Tech Stack: TFX, Kubeflow, Dataflow, GCP

  • ⚡ 40% faster model delivery time
  • 📈 Clickstream & campaign data processing
  • 🔍 Multi-geography drift detection

🏥 Healthcare Data Warehouse

Claims processing & analytics platform

Tech Stack: AWS Redshift, Python, Tableau

  • 💰 $2M+ cost savings through anomaly detection
  • 📋 Clinical notes NLP analysis
  • 📊 Provider performance monitoring

🌟 Core Expertise

🔧 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

📊 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

☁️ Cloud & Infrastructure

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

🤝 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!

📬 Contact Information

LinkedIn Email Phone GitHub

📍 Location: Austin, TX
📞 Phone: +1 (929) 233-9976
✉️ Email: alexandernettekoven325@gmail.com

🌟 What I'm Currently Excited About

  • 🔮 Modern Data Stack and its evolution
  • 🚀 DataOps and automated data pipeline testing
  • 📊 Real-time analytics and streaming architectures
  • 🌐 Data mesh and decentralized data platforms

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

Popular repositories Loading

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

    Python 16

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

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

    Python

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

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

    Python

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

    Azure Data Factory & Snowflake ETL Pipeline

    Python

  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.

    Python

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

    ELT Pipeline with Databricks, Python and Snowflake

    Jupyter Notebook