Maya Johnson

Senior Data Engineer

New York, USBuilding since Jul 2016 (10+ yrs)

Headline

Across five companies, I've repeatedly been the one brought in to migrate legacy ETL systems onto modern cloud lakehouse platforms, from Hadoop to Databricks and Snowflake.

99.8%Pipeline Success Rate

pipeline reliability

40%Data Quality Rate

reduction in production data quality incidents

Represented Roles

Specialized Functions & Roles.

Engineering capabilities and specialized roles demonstrated across real production work.

Senior Data Engineer

Primary Role

Big Data Engineer

Data Platform Engineer

AWS Data Engineer

Analytics Engineer

Signals

Live in Production.

Each signal ties back to a specific, evidenced moment.

Built

1 moment

Systems shipped end-to-end, from schema to deploy.

•Built a finance-grade Snowflake lakehouse platform

Solved

1 moment

Gaps closed - false positives, edge cases, dead ends.

•Closed the gap between silver and gold data layers

Led

1 moment

Architecture, mentorship and decisions owned solo.

•Led a 4-month Lakehouse migration off legacy ETL

Learned

1 moment

New tools and depth picked up on the job.

•Experimenting with building agent swarms

Growth trajectory

Maya's career, mapped.

A timeline of milestones captured directly from real work.

Started building big data ingestion pipelines

Took on real-time streaming architecture

Stepped up to lead a centralized data lake

Moved into cloud-native lakehouse consulting

Led a full legacy-to-lakehouse migration

Built automated trust into the data platform

Started building big data ingestion pipelines
Took on real-time streaming architecture
Stepped up to lead a centralized data lake
Moved into cloud-native lakehouse consulting
Led a full legacy-to-lakehouse migration
Built automated trust into the data platform

Stack

Daily tools.

What Maya actually reaches for, pulled from the tags attached to captured moments.

Work

Key Work By Role

What they built, shipped and owned at each role, with impact numbers where there are any.

XYZ Corp

Specialist Data Engineer · Apr 2024 - Present

Apr 2024

Legacy ETL to Lakehouse Migration

Migrated 20+ AWS Glue ETL workflows from Informatica/Glue to Databricks Lakehouse with a 5-engineer team, reducing pipeline execution time by 45%.

Completed within 4 months with a 5-engineer teamEnabled a scalable modern data platform

Stack:DatabricksMigrationTeam LeadershipDelta Lake

View case study

Apr 2024

Gold-Layer Data Trust Platform

Automated Silver-to-gold reconciliation and standardized data validation processes in Databricks, reducing production data quality incidents by 40%.

Reduced production data quality incidents by 40%Significantly reduced manual reconciliation effortEliminated approximately 5 hours of manual reconciliation work per week.

Stack:DatabricksPySparkData QualityDelta Lake

View case study

ABC LLC

Senior Consultant (AWS Data Engineer) · Feb 2022 - Mar 2024

Feb 2022

Scalable Lakehouse Platform

Built AWS Glue ETL pipelines ingesting SAP HANA data into S3 and Snowflake for finance and billing use cases, processing 1.5+ TB daily.

Processed 1.5+ TB of data dailyDelivered finance KPIs for executive billing dashboards

Stack:AWS GlueSnowflakePySparkSAP HANA

View case study

ACME Corp

Senior Big Data Engineer · Dec 2020 - Jan 2022

Dec 2020

Finance Data Platform

Consolidated data from 9+ upstream enterprise systems into a centralized Hadoop data lake using Kafka ingestion pipelines.

View case study

Technicorp

Associate · Apr 2019 - Dec 2020

Apr 2019

Operational Event Data Platform

Built real-time streaming ingestion pipelines using Kafka, Azure Event Hub, SQL Server, and S3 for mining and natural resources analytics.

View case study

NewBIZ LLC

Associate Software Engineer (Big Data Developer) · Jul 2016 - Apr 2019

Jul 2016

Industrial Event Analytics Platform

Built ingestion and transformation pipelines for vehicle telemetry data supporting global fleet monitoring and KPI dashboards.

View case study

Outside Work

Side projects, open source & publications.

Independent builds, open-source contributions, technical writing, and experiments beyond the day job.

Experiment

Agent Swarms Experimentation

Exploring how to build agent swarms, currently in an experimental stage.

Present

Learning

Formal record.

CCA-175: Cloudera Certified Spark and Hadoop Developer
Cloudera
2021
B.Tech in Computer Science & Engineering
Stevens College
2014

Activity heatmap

A record of momentum.

A combined view of Maya's activity across the tools used daily.

LessMore

Profile last updated today.

Maya Johnson

Specialized Functions & Roles.

Senior Data Engineer

Big Data Engineer

Data Platform Engineer

AWS Data Engineer

Analytics Engineer

Live in Production.

Built

Solved

Led

Learned

Maya's career, mapped.

Started building big data ingestion pipelines

Took on real-time streaming architecture

Stepped up to lead a centralized data lake

Moved into cloud-native lakehouse consulting

Led a full legacy-to-lakehouse migration

Built automated trust into the data platform

Daily tools.

Key Work By Role

XYZ Corp

Legacy ETL to Lakehouse Migration

Gold-Layer Data Trust Platform

ABC LLC

Scalable Lakehouse Platform

ACME Corp

Finance Data Platform

Technicorp

Operational Event Data Platform

NewBIZ LLC

Industrial Event Analytics Platform

Side projects, open source & publications.

Agent Swarms Experimentation

Formal record.

A record of momentum.

Liked Maya's graph?