Martin Bobadilla
@martinbobadilla
Senior Data Engineer modernizing large-scale data platforms for AI, healthcare, and analytics.
What I'm looking for
I’m a Senior Data Engineer with 10 years of experience building and modernizing data platforms for healthcare, insurance, network intelligence, and digital marketing. I work end-to-end on large-scale data pipelines, streaming and warehouse systems, and trusted datasets that power reporting, operational decisions, and AI-driven applications.
In my most recent role, I helped modernize a cloud-native data platform by migrating legacy ETL to a scalable architecture. I built a metadata-driven orchestration framework with Apache Airflow that generates production DAGs with embedded data quality validation, lineage, dependency management, and automated recovery—strengthening reliability across 200+ workflows.
I also design trusted data products using Medallion-style architectures and dbt models, and deliver real-time analytics platforms that support Tableau and Power BI dashboards. Across teams, I’m committed to data governance, automated data quality checks, and mentoring through design and code reviews, so data and engineering practices stay dependable as products scale.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer/Architect
AKASA
Dec 2023 - Present (2 years 8 months)
Modernized AKASA’s cloud-native data platform by migrating legacy ETL to a scalable architecture for AI-driven healthcare products. Built metadata-driven Apache Airflow orchestration, Databricks Spark pipelines, Snowflake/dbt data marts, and real-time analytics on ClickHouse and Amazon Redshift while embedding data quality and HIPAA PHI/PII masking.
Senior Data Engineer
Ethos
Jun 2022 - Oct 2023 (1 year 4 months)
Designed and scaled an analytics platform by building Snowflake data models and dbt transformation layers to unify policy, underwriting, customer, and marketing data. Engineered high-throughput Databricks ELT pipelines and established dbt testing, automated data quality validation, CI/CD workflows, and documentation standards.
Designed and scaled distributed data pipelines ingesting and processing global network telemetry events for customer-facing analytics and monitoring. Built streaming and batch pipelines using Kafka, Spark, and Airflow, and optimized Amazon Redshift warehouse architectures with reliability monitoring via CloudWatch and Grafana.
Developed ETL pipelines and analytical data models using SQL, Python, and Apache Spark to integrate customer, product, and marketing data for Adobe Experience Platform reporting and analytics. Built Tableau dashboards and optimized data processing workflows and warehouse queries.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor's Degree, Economics
2012 - 2016
Bachelor’s degree in Economics at the University of California, Berkeley from 2012 to 2016.
Availability
Location
Authorized to work in
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