Airbnb
Seattle Area
Rex Xiong
Data Engineer at Airbnb. Building Airbnb Icehouse — their Data Lakehouse platform. Speaking at Iceberg Summit 2025 in San Francisco on the Airbnb Icehouse architecture. Strong background in Spark, Iceberg, and large-scale data platform engineering.
Airbnb
Seattle Area
Luke Lowery
Data Platforms engineer at Airbnb. Large-scale data platform architecture supporting Airbnb's data infrastructure. Focus on lakehouse patterns and scalable data systems.
Apple
San Francisco, CA
Enrico Canzonieri
Software Engineer at Apple. Working on data platform infrastructure. Strong background in distributed systems and data lake technologies. Institut Eurécom graduate.
Apple
Cupertino, CA
Rajasekhar Konda
Sr. Engineering Manager — ML & Data Platform at Apple. Built Apple's Data Lakehouse Charter from the ground up, powered by Apache Iceberg and REST Catalog. 500+ PB multi-tenant Lakehouse in hybrid-cloud environments.
Google
Mountain View, CA
Rajarshi Sarkar
Software Engineer at Google. Published on Iceberg + Amazon EMR — achieved 6-9x speedup in metadata operations using FSx for Lustre with Iceberg on EMR. Deep expertise in data lake performance optimization.
Google
Mountain View, CA
Ishank Katiyar
Software Engineer at Google (Ex-Amazon AWS). Strong foundation in scalable system design, cloud infrastructure, and distributed systems. Built data platform solutions at AWS before Google.
LinkedIn
Mountain View, CA
Jessica W.
Software Engineer at LinkedIn. Languages: Python, Java, TypeScript, Scala, Go. Big Data: Spark, Kafka, Hadoop, Azkaban, Databricks. Cloud: AWS, GCP, Azure. Strong full-stack data platform background.
Meta
Menlo Park, CA
Jinal Shah
Senior data engineer with experience at Airbnb and Meta. Stanford graduate. Strong background in building scalable data pipelines and platform solutions at top tech companies.
Netflix
Los Gatos, CA
Alex Bohr
Data engineer at Netflix. Active voice on Spark and data engineering fundamentals. Discusses ETL maturity, Spark's role in modern data stack, and data platform patterns at scale.
Amazon AWS
Seattle, WA
Kapil Chandra N.
Software Development Engineer II at AWS. Worked extensively with AWS Glue, Redshift, DynamoDB, ECS, Step Functions, S3, Apache Iceberg, and Spark to build scalable data platforms.
Amazon
Seattle, WA
Shubham Srivastava
Principal Data Engineer @ Amazon. Expert in Spark, Hadoop, ElasticSearch. Built data platform teams from the ground up. Strong track record scaling solutions to match company growth.
Amazon
Seattle, WA
Abhishek Singh
Data Engineer at Amazon. Strong understanding of data engineering principles — designing and implementing data pipelines, data quality, and optimizing data storage with SQL, Hadoop, and Spark.
Amazon
Seattle, WA
Abhishek Gorla
Senior Business Intelligence Engineer at Amazon. Built real-time stream processing with Apache Flink/Spark Streaming on EMR. Strong knowledge of Kinesis Firehose and data pipeline architecture.
Amazon
Seattle, WA
Suthan Phillips
Data engineer at AWS. Expert in lakehouse architecture with Amazon Redshift. Built scalable data platforms combining Redshift with Apache Iceberg APIs for unified data platforms.
Amazon AWS
Seattle, WA
Paul Meighan
Solutions Architect at AWS. Expert in CloudWatch and S3 Tables with Iceberg. Helping customers build data lake solutions with Iceberg-compatible tools — Spark, Trino, Athena.
Amazon
Seattle, WA
Apurba Dhar
Software Engineer at Amazon (Ex-AWS). University of Washington Foster School of Business graduate. Background in data engineering and cloud platform solutions at AWS scale.
Databricks
San Francisco, CA
Sriram Krishnamurthy
Engineering at Databricks. Carnegie Mellon graduate. Building core Databricks platform. Deep expertise in Spark, data lakehouse architecture, and platform-scale engineering.
Databricks
San Francisco, CA
Stephen Johansen
Solutions architect at Databricks. Deep expertise in Iceberg v3 support, open lakehouse architectures, cross-engine data formats, and metadata layer evolution for modern data platforms.
Bloomberg
New York, NY
Jiazhuo (Adrian) Qin
Senior Software Engineer — Enterprise Data Lakehouse Team at Bloomberg L.P. Apache Iceberg contributor. Building Bloomberg's Enterprise Data Lakehouse with Spark, Iceberg, Arrow, Parquet. UC San Diego graduate.
Capital One
Richmond, VA / Remote
Harish R.
Data Engineer at Capital One. Built enterprise CDC + SCD2 and Finance Lakehouse projects. Expert in PySpark, Spark transformations, and end-to-end data platform development for financial services.
Block (Square)
San Francisco, CA
Liang H.
Platform Product Leader at Block (FinTech). ex-Infrastructure @ Webflow, Airbnb, Microsoft. Focus on data platform and infrastructure at scale. Strong background in platform engineering.
J.P. Morgan
New York, NY
Sumit Sawant
Vice President | Lead Data Engineer at J.P. Morgan. AWS Solution Architect, Terraform, Databricks Associate Developer for Apache Spark 3.0 Certified. Building Cloud Native Data Solutions.
JPMorgan Chase
New York, NY
Rakesh M
Snowflake Data Engineering Specialist | Scala/Spark Developer at JPMorgan Chase Development Analytics team. Specializes in Snowflake and big data technologies for financial analytics.
FinThrive
Atlanta, GA
Ken Duclos
Data platform leader at FinThrive building agentic data lake infrastructure for revenue cycle management. Data lake engineered for autonomous decision-making at scale.
Uber
San Francisco, CA
Prateek Mehta
Data Engineer at Uber. IIIT Hyderabad graduate. Strong background in ETL pipelines, distributed systems, and scalable data platform development.
Uber
Redmond, WA
Komal Raulkar
Data Engineer at Uber. IIM Calcutta graduate. Analytical and data engineering skills. Building scalable data solutions for Uber's platform.
Discover Financial
Riverwoods, IL
Sai Srikar Boddupalli
Senior Data Engineer at Discover Financial Services. AWS, Azure, Snowflake, Big Data, ETL, Spark, Kafka, Databricks, AI & ML, Scalable Data Pipelines, Cloud Data Architecture.
American Express
New York, NY
Vandana Shetty
Data Engineer at American Express. Strong background in data processing, ETL pipelines, and cloud-based data solutions within financial services at scale.
Walmart
Bentonville, AR
Nishchay Agrawal
Data engineer at Walmart. Expert in SQL performance tuning, Spark internals, PySpark, Hive partitioning, Apache Airflow DAGs, AWS S3/Glue/Redshift/Lambda, Kafka. Active tech educator.
Airbnb
Seattle, WA
Thomas Gianos
Staff Data Engineer at Airbnb. Co-creator of Airbnb Icehouse — the company's Data Lakehouse platform built on Apache Iceberg. Presenting at Iceberg Summit 2025. San Jose, CA.
Fivetran
Oakland, CA
Tushar Kumar
Data Engineer at Fivetran. Recognized for leading implementation of a scalable distributed write engine capable of rewriting Parquet files at terabyte scale — a foundational component of Fivetran's Managed Data Lake solution.
Databricks
San Francisco, CA
Himanshu Raja
Solutions Architect at Databricks. NYU Stern graduate. Helping enterprises adopt lakehouse architecture with Spark, Databricks, and cloud data platforms.
Databricks
San Francisco, CA
Zach Tobias
Solutions Architect @ Databricks. Expert in Databricks Data Engineering, GenieCode, Lakeflow, Spark Declarative Pipelines. Helping customers build modern data platforms on Databricks.
Snowflake
New York, NY
Artem Ervits
Solution Engineering Manager at Snowflake. Expert in Snowflake + AWS MSK streaming data into Iceberg tables. Deep knowledge of data lake and lakehouse architectures in enterprise environments.
Snowflake
San Mateo, CA
Sridhar Machiraju
Team at Snowflake. Working on lakehouse and Iceberg integrations. Active in the data platform community discussing modern data stack architectures across multiple systems.
Starburst Data
Remote / USA
Yuya Ebihara
Staff Software Engineer & Trino Maintainer at Starburst (ex-Facebook). Apache Iceberg contributor. Focuses on improving query engines and table formats for reliable, efficient data lakehouse architectures.
Observe, Inc.
San Francisco, CA
John Mark Troyer
Data platform expert at Observe, Inc. Specializes in data lake at scale observability. Deep understanding of telemetry, data platform costs, and lakehouse design at scale.
Cloudera
Seattle, WA
Abhishek Rawat
Engineer at Cloudera. Presenting at Iceberg Seattle Meetup on modern data architectures powered by Iceberg. Deep expertise in data lake technologies and enterprise data platforms.
Zeta
Remote / USA
Soumil S.
Lead Software Engineer | Big Data & AWS. Led design of multi-tenant data ingestion platform using Amazon S3 Tables (managed Apache Iceberg) as part of Zeta's Lakehouse architecture. 55TB/month across 10,000+ Iceberg tables.
CrowdStrike
Sunnyvale, CA
Dharti Patel
Senior ML Platform Engineer at CrowdStrike. Building state-of-the-art ML Experimentation Platform. Strong background in data platform and ML infrastructure at cybersecurity scale.
Datadog
New York, NY
Alexander Jo
Senior Software Engineer at Datadog. Working on analytics engine for data observability. Strong background in distributed systems, data platform, and observability at scale.
phData
Remote / USA
Rangaswamy M R
Data engineer at phData. Snowflake and Apache Iceberg expert. Presented at Snowflake community events on Iceberg evolution and time travel features.
Seattle Data Guy
Denver, CO
Benjamin Rogojan
Seattle Data Guy — data engineering educator and practitioner. University of Washington graduate. Strong background in data platform architecture, Spark, and data lake design. Builds educational content on data engineering.
Hapag-Lloyd AG
Essen, Germany (US-adjacent)
Kevin Haferkamp
Senior Data / Platform Engineer specializing in Spark & Databricks-based lakehouse. Azure, Databricks/Spark, Python/Scala, Lakehouse architecture. Team leadership in maritime data platform.
DataSentics
Remote / USA
Tereza Novotna
Data Scientist at DataSentics. AI/ML Architecture, MLOps, Data Lakehouse design. Azure Cloud, Databricks, Spark, Python. Strong at intersection of business strategy and ML platform.
AWS
Boston, MA
Duncan Vogel
Software Developer at Amazon Web Services (AWS). Northeastern University graduate. Building AWS data platform services. Strong background in cloud data technologies.
AWS
Boston, MA
Juna K.
Software Engineer at AWS. Northeastern University graduate. Building data platform solutions on AWS. Strong background in cloud computing and data services.
AWS
Raleigh, NC
Siddhi Patil
Data Professional at AWS. University of Texas at Dallas graduate. Strong background in data engineering, Python, SQL, and AWS data services.
AWS
Seattle, WA
Joshua Lopez
Data Scientist at AWS. 6 years of engineering experience. Big Data: Apache Spark, Airflow. Cloud: AWS EMR, S3, Redshift, EC2. ML: TensorFlow, PyTorch, Sklearn. Strong data + ML platform background.
LifeBridge Health
Baltimore, MD
Lokesh K
Data Engineer at LifeBridge Health. 6 years building scalable ETL pipelines and cloud-native data platforms. AWS, Azure, GCP, Spark, Snowflake, real-time data solutions for healthcare.
Airship
Denver, CO
Kyle Mahaffey
Data Platform Engineer at Charter Communications (Airship). Building data lake and ETL platforms. Strong in Spark, cloud data services, and data pipeline architecture.
Charter Comm.
Denver, CO
Naveen Kumar S
Data Engineer building automation for legacy data warehouse migrations to Databricks Lakebridge. Expert in Lakebridge — automated migration from legacy warehouses to Databricks lakehouse.
Amazon
Seattle, WA
Parth Patel
Software Development Engineer at Amazon. USC Alumni. Strong background in data structures, algorithms, and software engineering. Building data platform solutions at Amazon scale.
Amazon Robotics
Seattle, WA
Tirna Adhikary
Software Engineer at Amazon Robotics. Rochester Institute of Technology graduate. SWE + SRE background. Data platform engineering supporting Amazon's robotics data infrastructure.
Consultant
Remote / USA
Anil Reddy
Independent consultant specializing in AI, Cybersecurity, Cloud & Data Engineering. Broad data platform experience across multiple industries and tech stacks.
⚠️ Profiles sourced from public LinkedIn search results. Years of experience are estimated from profile data. Verify experience and details directly on each LinkedIn profile before outreach.
🎯 Additional criteria: Must be USA-based + Data Lake Platform Building / Platform SRE experience.
Report generated by Babu 🧡 on 2026-04-13 — For research purposes only.