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Farsh Ebady

@farshebady1

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Senior data engineer and architect building governed lakehouse and ETL/ELT pipelines for real-time insights.

United States

Message

What I'm looking for

I’m looking to architect governed, cloud-native lakehouse and ETL/ELT platforms—leading modernization, real-time integrations, and cross-functional delivery while driving cost efficiency, reliability, and measurable time-to-insight improvements.

I’m a Senior Data Engineer and Data Architect with 9+ years of progressive experience designing and delivering enterprise-grade data warehousing platforms, ETL/ELT pipelines, and real-time data integration architectures across healthcare, AI, and technology.

I’m equally effective as a hands-on Integration Engineer building production pipelines and as a Solution Architect defining target-state data platforms. I translate complex business requirements into scalable, governed, high-performance data ecosystems—using Databricks, Snowflake, Apache Spark, Kafka, Palantir Foundry, AWS, and Azure.

I consistently drive measurable outcomes: cutting query costs, eliminating pipeline failures, and reducing time-to-insight. I modernize legacy ETL and data warehousing into cloud-native, fault-tolerant distributed platforms, partnering with executive stakeholders to align data infrastructure with AI, machine learning, and business intelligence strategies.

I also bring strong leadership and quality discipline—leading cross-functional engineering teams, owning discovery-to-delivery architecture roadmaps, and embedding observability, data governance, and CI/CD reliability. My work spans Python/SQL/dbt, Airflow orchestration, Terraform/Infrastructure Automation, and Unity Catalog governance to ensure trusted, cost-efficient platforms.

Experience

Work history, roles, and key accomplishments

Current

Data Architect

Current

Lovelytics

Feb 2022 - Present (4 years 5 months)

Served as Data Architect and Solution Architect designing governed Databricks lakehouse platforms using Unity Catalog and Delta Lake across multi-cloud (AWS/Azure) client environments. Built integration and ETL/ELT frameworks (including CDC and streaming) and led modernization initiatives with Spark, Terraform, and CI/CD automation.

Databricks Unity Catalog Delta Lake Lakehouse Architecture Palantir Foundry Ontology ETL ELT CDC Medallion Architecture Apache Spark Terraform CI CD Data Governance Data Lineage Compliance Auditing Data Modeling Data Integration

Data Engineering Lead

Together AI

Dec 2019 - Jan 2022 (2 years 1 month)

Led a data engineering team owning data platform architecture for ETL/ELT, streaming, and data warehousing supporting the AI product. Built event-driven pipelines and real-time analytics, optimized Snowflake performance to cut query costs, and migrated legacy ETL to distributed processing to improve reliability.

Engineering Leadership Data Platform Architecture ETL ELT Python AWS Lambda AWS S3 Glue Lambda Real Time Analytics Snowflake Databricks Apache Spark Legacy ETL Migration Code Review Documentation

Senior Data Engineer

Firstbase

Oct 2016 - Nov 2019 (3 years 1 month)

Acted as the primary Integration Engineer designing and building scalable ETL pipelines to ingest data from heterogeneous sources into a centralized Snowflake warehouse. Implemented dbt transformations with lineage and tests, automated Airflow DAGs and event-triggered workflows, and optimized SQL performance and infrastructure via Terraform and Docker.

Data Analytics Engineer

Inspiren

Apr 2015 - Sep 2016 (1 year 5 months)

Built batch ETL workflows in Python/Pandas to ingest and transform data from PostgreSQL and MySQL into reporting layers. Developed complex SQL and dimensional models, created Tableau dashboards, and performed data validation/quality checks to improve consistency across reporting outputs.