Open to opportunities

Farsh Ebady

@farshebady

Senior Data Engineer & Architect building secure, high-performance lakehouse and streaming platforms to accelerate BI and ML outcomes.

United States

Message

What I'm looking for

I’m looking for a role where I can lead end-to-end lakehouse and streaming platform transformations—pairing strong data governance (Unity Catalog) with hands-on engineering—to deliver production-grade ETL/ELT, faster insights, and reliable ML-ready data.

I’m a results-driven Senior Data Engineer and Architect with 9+ years of progressive experience designing, building, and scaling enterprise data platforms, ETL/ELT pipelines, and lakehouse architectures. I translate complex engineering challenges into reliable, high-performance solutions across Databricks, Snowflake, Apache Spark, Kafka, AWS, and Azure—especially through medallion architecture, real-time streaming, data governance, and cloud modernization.

In my recent work as a Data Architect for Lovelytics, I directed end-to-end Databricks Lakehouse transformations, integrated Unity Catalog and Delta Lake, and established governance frameworks that enforce role-based access control, lineage tracking, and compliance auditing. As a Data Engineering Lead at Together AI and earlier as a Senior Data Engineer, I led streaming and warehouse migrations, built automated monitoring and data quality controls, and partnered with engineering, product, and executive stakeholders to deliver production-grade platforms that accelerate analytics and machine learning outcomes.

Experience

Work history, roles, and key accomplishments

Current

Data Architect

Current

Lovelytics

Feb 2022 - Present (4 years 4 months)

Directed enterprise lakehouse transformation engagements for Fortune-class clients, designing end-to-end Databricks Lakehouse solutions integrating Unity Catalog, Delta Lake, and multi-cloud patterns across AWS and Azure. Established governance frameworks and standardized CI/CD and engineering practices to improve platform reliability and reduce infrastructure provisioning time.

Unity Catalog Delta Lake Apache Spark Data Governance Medallion Architecture Terraform CI CD Data Modeling Lakehouse Modernization

Data Engineering Lead

Together AI

Dec 2019 - Jan 2022 (2 years 1 month)

Architected and maintained high-throughput streaming pipelines with Apache Kafka, processing tens of millions of daily events with sub-second latency targets. Built real-time analytics capabilities that reduced time-to-insight by over 60% and optimized warehouse performance to cut query execution costs by 40%+.

Apache Kafka Stream Processing AWS Lambda Snowflake Data Pipelines Observability Python

Senior Data Engineer

Firstbase

Oct 2016 - Nov 2019 (3 years 1 month)

Built scalable ETL pipelines using Python, Apache Airflow, and AWS services to automate ingestion from 15+ heterogeneous sources into a centralized warehouse. Implemented dbt transformations with lineage and testing, reducing manual overhead by 70% and virtually eliminating recurring pipeline failures while lowering SQL execution costs.

Python Apache Airflow ETL ELT Snowflake DBT Data Lineage CI CD

Data Analytics Engineer

Inspiren

Apr 2015 - Sep 2016 (1 year 5 months)

Developed and optimized SQL queries in PostgreSQL and MySQL to support operational and executive reporting. Built automated Python/Pandas ETL workflows and Tableau dashboards, reducing ad-hoc reporting requests by over 40% through improved self-serve access to validated datasets.

SQL PostgreSQL MySQL Python Pandas ETL Tableau