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Alexander Nettekoven

@alexandernettekoven

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Senior Data Engineer driving scalable data platforms, ML pipelines, and actionable analytics.

United States

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What I'm looking for

I seek senior roles building scalable data platforms and ML pipelines where I can lead cross-functional teams, drive data governance, and deliver measurable business impact.

I am a Senior Data Engineer with 12 years of experience building scalable data platforms, ML pipelines, and analytics solutions across healthcare, e-commerce, advertising, and gaming. I led the development of an HR analytics platform with predictive workforce modeling and executive dashboards that improved retention and decision-making.

My background spans end-to-end ETL/ELT, streaming, and model productionization using Airflow, dbt, Kafka, Spark, BigQuery, Databricks, TensorFlow, and Vertex AI. I have delivered cost-saving migrations, real-time feature stores, fraud and anomaly detection systems, and self-serve analytics that significantly reduced ad-hoc reporting and infrastructure costs.

I collaborate cross-functionally with product, HR, and research teams, mentor technical peers, and apply data governance and compliance best practices to secure sensitive data while accelerating deployment velocity and business impact.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Dutech

Dec 2021 - Jun 2025 (3 years 6 months)

Designed ETL/ELT pipelines and real-time streaming architectures that unified HRIS, payroll, and engagement data, reducing ad-hoc reporting requests by 40% and cutting infrastructure costs by 30% through migrations to BigQuery and Databricks.

Airflow DBT AWS Glue Kafka Spark BigQuery Snowflake Scala Pyspark Tableau

Senior ML & Data Engineer

Google

Mar 2020 - Oct 2021 (1 year 7 months)

Engineered production ML pipelines and real-time feature stores for Google Ads, reducing model delivery time by 40% and cutting TPU training time by 30% while saving ~$1M annually.

Kubeflow Vertex AI Dataflow BigQuery Beam TensorFlow A B Testing

Senior Data Scientist

BigCommerce

Dec 2018 - Dec 2019 (1 year)

Built recommendation and churn prediction models that increased average order value by 10% and saved millions in recurring revenue through targeted retention campaigns.

Gradient Boosting Python Spark R Recommendation Systems Churn Modeling Fraud Detection A B Testing SQL

Data Analyst

NomiHealth

Jan 2015 - Oct 2018 (3 years 9 months)

Developed SQL reporting pipelines and dashboards that improved operational reporting accuracy and identified $2M+ in cost savings via anomaly detection in claims data.

SQL AWS RedShift Tableau Power BI Python Pandas Data Quality ETL Healthcare Analytics

Junior Backend Developer

SailPoint Technologies

Nov 2013 - Oct 2014 (11 months)

Contributed to relational schema design and database migrations, improving query performance by ~25% and achieving zero data loss during Oracle-to-PostgreSQL migration with <2 hours downtime.