Open to opportunities

M Younas

@myounas

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Senior Data Architect specializing in Databricks, Snowflake, streaming, and governance.

United States

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What I'm looking for

I seek senior roles building governed, cloud-native data platforms where I can lead lakehouse, streaming, and data governance initiatives while driving measurable cost, quality, and performance improvements.

I am a Senior Data Architect and Data Engineer with over 10 years building cloud-native, enterprise-scale data platforms across healthcare, fintech, telecom, and retail.

I design lakehouse architectures (Delta, Iceberg, Hudi), CDC frameworks, and real-time streaming systems, and I modernize legacy systems into secure, governed AWS, Azure, and GCP platforms.

My work has delivered measurable outcomes: improved availability by 45%, reduced batch windows from 6 hours to 30 minutes, cut manual quality checks by 60%, and lowered compute costs by 28% through Databricks optimization.

I lead Data Mesh and governance efforts using Unity Catalog and data contracts, build robust ETL/ELT and streaming pipelines, and embed AI-driven data quality to enable analytics, ML, BI, and regulatory workloads.

Experience

Work history, roles, and key accomplishments

Current

Data Architect

Current

CloudNova Technologies

Mar 2022 - Present (4 years)

Architected a Delta Lakehouse integrating FHIR, HL7, and X12 across Databricks and Snowflake, improving availability by 45% and reducing batch windows from 6 hours to 30 minutes; implemented MLflow anomaly detection cutting manual quality checks by 60%.

Lakehouse Databricks Snowflake Kafka MLFlow DBT Unity Catalog AWS

Senior Data Engineer

InsightSphere Analytics

Sep 2019 - Feb 2022 (2 years 5 months)

Developed HCC features that improved model accuracy by 20% and automated CMS metadata and lineage with dbt and Snowflake, reducing effort by 70%; reduced data quality defects by 55% using Great Expectations.

DBT Snowflake Great Expectations Airflow Monte Carlo Observability SQL Python

Data Engineer

DataBridge Systems

Jun 2017 - Aug 2019 (2 years 2 months)

Engineered ETL pipelines processing 2TB+ daily into Redshift and S3, migrated SQL Server and Oracle workloads to Redshift improving performance by 35%, and implemented CDC ingestion reducing refresh cycles from 12 hours to 1 hour.

Redshift S3 CDC Pyspark Airflow SQL Server Oracle ETL Performance Tuning

ETL/ELT Developer

NextWave Data Technologies

Jan 2015 - May 2017 (2 years 4 months)

Built PCI-compliant ETL pipelines across SQL Server, Oracle, and Teradata, developed Kafka-based fraud ingestion improving detection by 40%, and implemented ISO-20022 standardization improving reporting by 35%.

Kafka SQL Server Oracle Teradata PCI Compliance ISO 20022 Pl SQL ETL