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Aley B.

@alibangash1

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Lead Data Engineer building cloud-native Lakehouse platforms that deliver reliable, cost-efficient analytics.

United States

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What I'm looking for

I'm seeking a senior data engineering role building cloud-native Lakehouse platforms, driving governance, observability, cost optimization, and mentoring teams while partnering with product, data science, and BI to deliver reliable data products.

I am a hands-on Lead Data Engineer and Data Architect with 8+ years building cloud-native data platforms across AWS, Azure, and GCP. I specialize in Lakehouse/Delta architectures, streaming and batch pipelines, and analytics layers that are observable, governed, and cost-efficient.

I have consolidated 100+ TB into a Databricks Lakehouse, reduced end-to-end latency from 24 hours to under 2 hours, and drove approximately 30% cost savings through right-sizing and automation.

I design and productionize pipelines using Airflow, Databricks, Spark, Kafka, ADF, and dbt, and build warehouses in Snowflake, Redshift, and BigQuery. I implement automated data quality with Great Expectations, enforce data contracts, and establish CI/CD, runbooks, and observability to improve reliability. I partner closely with product, data science, and BI to operationalize models and accelerate insights.

I enjoy mentoring engineers, improving onboarding velocity, and delivering pragmatic, scalable solutions that balance governance, performance, and cost.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Flatiron Health

Jan 2022 - Present (3 years 8 months)

• Designed and implemented scalable cloud-native pipelines for sensitive healthcare data, enabling advanced patient care analytics.
• Migrated legacy systems to AWS Redshift & S3, improving scalability and reducing infrastructure costs by 40%.
• Integrated Electronic Health Records (EHR) into data lakes, enabling real-time analytics & reporting that improved patient outcomes

Databricks AWS S3 Pyspark Apache Airflow Delta Lake Great Expectations DBT Azure Data Factory HIPAA)Hibernate Hive HIPAA

Senior Data Engineer

VisionX

Jun 2019 - Jan 2022 (2 years 7 months)

• Built ETL/ELT pipelines for financial datasets, ensuring compliance and real-time reporting.
• Leveraged Apache Spark & AWS Glue to process terabytes of financial data, reducing processing times by 30%.
• Partnered with data science teams to build models and forecasting dashboards in Power BI, improving prediction accuracy.

Snowflake DBT Kafka Azure Data Factory GitHub Actions)Terraform Neo4j

Data Engineer

Trellix

Aug 2017 - May 2019 (1 year 9 months)

Consolidated sales and marketing data into Amazon Redshift and introduced Airflow to orchestrate 60+ daily jobs, achieving 99.5% on-time execution; automated infra with Terraform and Docker, reducing environment setup time ~70% and passing audits with zero findings.

Amazon Redshift Apache Airflow Informatica Terraform Docker Tableau IAM

Data Engineer

ApTask

Mar 2016 - Aug 2017 (1 year 5 months)

Built and maintained Informatica PowerCenter mappings integrating Oracle/MySQL into an enterprise DWH, speeding key reports ~20% and authoring Python utilities that reduced data errors ~30%; developed CDC jobs to keep marts current while minimizing load windows.

Informatica Oracle MySQL Python SQL Tuning Data Modeling