Open to opportunities

Amy Mohsin

@amymohsin

Message

Senior Data Engineer specializing in cloud data platforms and analytics.

United States

Message

What I'm looking for

I seek roles designing and scaling cloud-native data platforms, leading cross-functional teams, improving data reliability and performance, and mentoring engineers in a collaborative, impact-driven environment.

I am a Senior Data Engineer with 10 years of experience designing, building, and optimizing scalable cloud data platforms for SaaS and enterprise analytics. I architect end-to-end ETL/ELT pipelines, real-time streaming systems, and modern cloud warehouses (Snowflake, BigQuery, Redshift), driving improvements in reliability, performance, and cost efficiency.

I lead cross-functional initiatives, mentor engineers, and translate complex business requirements into scalable technical solutions using Spark, Kafka, Airflow, dbt, and infrastructure-as-code. My work includes legacy platform migrations, observability and data quality frameworks, and cloud warehouse optimization to enable high-volume analytics and data-informed decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Platform Architect

Current

Fivetran

Jan 2020 - Present (6 years 5 months)

Led design and optimization of scalable cloud data platforms, architecting batch and real-time ingestion pipelines and driving warehouse optimizations across Snowflake/BigQuery/Redshift to improve performance and reliability.

Spark Kafka Snowflake BigQuery Airflow DBT AWS Data Quality

Data Infrastructure Engineer

Integrate

Jan 2016 - Jan 2020 (4 years)

Built and enhanced enterprise data warehouse and ETL pipelines for marketing and revenue intelligence, led legacy-to-cloud migrations, and optimized warehouse performance for high-volume analytics.

ETL Airflow Spark SQL Data Warehouse Performance Tuning Data Governance

Big Data/ETL Engineer

80Twenty

Jan 2014 - Jan 2016 (2 years)

Developed and modernized reporting and data warehouse systems, implemented SQL-based transformation pipelines and automated reporting to improve accuracy and query performance.

SQL ETL Data Modeling Reporting Data Validation Performance Tuning Data Integration