Open to opportunities

Tari Farooq

@tarifarooq

Senior Data Engineer and Cloud Data Architect building scalable cloud-native lakehouse and streaming platforms for secure analytics.

United States

Message

What I'm looking for

I’m looking to lead cloud data modernization—designing lakehouse and real-time streaming pipelines with strong governance, observability, and CI/CD—to improve reliability, performance, and cost while enabling AI/ML and analytics.

I’m a results-driven Senior Data Engineer and Cloud Data Architect with 10+ years designing, building, and optimizing scalable, cloud-native data platforms across AWS, Azure, and GCP. I specialize in modern data architectures, lakehouse platforms, real-time streaming, and infrastructure automation—delivering performance and reliability gains, reducing cloud costs, and enabling advanced analytics and machine learning.

In my recent role, I built a HIPAA-compliant cloud-native lakehouse using AWS, Snowflake, and dbt, and engineered high-throughput streaming pipelines with Kafka, AWS Glue, and PySpark. I’ve led enterprise migrations (e.g., Redshift to Snowflake), implemented CI/CD with Terraform and GitHub Actions, and established observability and data quality with Great Expectations and Airflow—while operationalizing ML pipelines with SageMaker and MLflow.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

9amHealth

Apr 2022 - Present (4 years)

Designed and implemented a cloud-native lakehouse on AWS, Snowflake, and dbt, enabling advanced analytics, ML, and real-time clinical insights. Built Kafka/AWS Glue/PySpark streaming pipelines processing 10M+ patient device events daily with near-zero downtime, and led Redshift-to-Snowflake migration delivering 60% better query performance and 50% lower compute costs while enforcing HIPAA-complian

AWS Snowflake DBT Kafka AWS Glue Pyspark Lakehouse HIPAA

Cloud Data Architect

XDuce Corporation

Nov 2018 - Mar 2022 (3 years 4 months)

Architected and delivered a scalable multi-cloud data platform across AWS and Snowflake for unified analytics and AI initiatives. Built low-latency CDC pipelines using Debezium and Kafka, improved pipeline throughput by 50%+ with lower compute costs, and implemented data governance and lineage via Apache Atlas alongside Delta Lake-based ELT workloads and containerized deployments.

AWS Snowflake Debezium Kafka Apache Airflow AWS Glue Delta Lake Terraform

Data Engineer

Taazaa Inc.

Oct 2015 - Sep 2018 (2 years 11 months)

Led migration from on-prem SQL Server to Azure Synapse Analytics and Azure Data Lake Gen2, reducing infrastructure costs by 60%+. Built end-to-end ETL/ELT pipelines with Azure Data Factory and Databricks, implemented real-time IoT analytics using Event Hubs and Kafka, and optimized Power BI models for 10M+ records while strengthening security with Azure RBAC and Key Vault.

Azure Synapse Azure Data Factory Databricks Event Hub Kafka Delta Lake Azure RBAC Terraform