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Ali Rizvi

@alirizvi2

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Senior data engineer building cloud-native ETL, real-time streaming, and MLOps-ready data platforms.

United States

Message

What I'm looking for

I’m looking to lead cloud-native data platform work—ETL/ELT, real-time streaming, and governance—while partnering with Data Science and DevOps. I want teams that value reliability, security, and measurable performance improvements.

I’m a results-driven Senior Data Engineer with over 10+ years of experience designing, building, and optimizing cloud-native data platforms across AWS, Azure, and GCP. I specialize in ETL/ELT pipelines, real-time data streaming, and big data solutions using Spark, Kafka, and Snowflake.

In my recent role, I led the design and implementation of cloud-native platforms supporting real-time analytics and predictive insights, improving data accessibility by 60%. I’ve built Kafka-based pipelines processing 2M+ messages per second, cut data processing time by 65%, reduced infrastructure cost by 30%, and enabled real-time analytics at enterprise scale.

I’m equally focused on reliable, secure delivery: I’ve driven GDPR/HIPAA data governance and ensured 100% audit-ready datasets, implemented role-based access, and delivered SOC2-compliant access and masking. I also partner closely with Data Science to deliver ML-ready datasets (improving model training accuracy by 70%) and integrate CI/CD and DevOps (cutting deployment time by 50%) to accelerate data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Datafold

Dec 2022 - Present (3 years 6 months)

Led design and implementation of cloud-native data platforms to improve data accessibility by 60% and enable real-time analytics for 2M+ messages per second. Built Kafka-based pipelines and ETL/ELT workflows in Spark and Snowflake, cutting processing time by 65%, reducing latency by 40%, and improving data governance/compliance with 100% audit-ready datasets.

Kafka Apache Spark Snowflake AWS Azure Terraform CI CD Data Governance SOC2 Datadog

Big Data Engineer

Slick Deals

Aug 2018 - Nov 2022 (4 years 3 months)

Engineered high-volume big data pipelines with Apache Spark, Kafka, and Airflow, processing 10B+ records daily across distributed systems. Optimized Snowflake/Redshift warehouses (55% lower BI query latency) and automated ETL/orchestration (70% fewer manual operations), while modernizing from on-prem Hadoop to AWS EMR/Azure Data Lake to cut infrastructure costs by 30%.

Apache Spark Kafka Airflow Snowflake Amazon Redshift Data Lake Data Warehousing Data Quality CI CD

Data Engineer

Narrator

Jun 2015 - Jul 2018 (3 years 1 month)

Developed and maintained ETL pipelines across Hadoop and SQL for structured and unstructured data, improving data delivery SLAs by 40%. Implemented data validation/cleansing to raise data accuracy by 90%, reduced manual QA effort by 50%, and delivered analytics dashboards using Tableau and Power BI.