Data EngineerForward Deployed EngineerAI Engineer

Hi, I'm
Gayathri
Suresh

I build end-to-end data systems - from raw ingestion to AI-powered analytics.

View my workResume

MS @ Northeastern University · Previously @ Humatics Corporation

Gayathri Suresh
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3
Production Platforms
300K+
Records Processed
80+
Pipeline Assets
6
Dashboards Built
Portfolio

Featured Projects

End-to-end data platforms spanning healthcare, e-commerce, and enterprise analytics - each built with production-grade architecture and deployed to cloud.

Data Engineering / AI

E-Commerce Streaming Analytics Platform

A production-grade analytics platform combining batch processing, real-time streaming, statistical A/B testing, and an AI operations agent - built on a Lambda architecture with 6 interactive dashboards.

DagsterApache KafkaGoogle BigQueryMongoDBFastAPI
View project
80+
Dagster Assets
7
Kafka Topics
2–5s
End-to-End Latency
6
Interactive Dashboards
11
AI Agent Tools
10
A/B Experiments
Data Engineering / Analytics

Healthcare Analytics Platform

An end-to-end healthcare analytics platform processing 160K+ CMS Medicare records through a medallion architecture, with rigorous data quality governance and self-service Tableau dashboards.

AWS S3 (data lake)Snowflakedbt Coredbt Tests (58+)
160K+
Records Processed
97.7%
Test Pass Rate
58+
Automated Tests
Data Engineering / BI

Enterprise Customer Analytics Platform

A customer analytics platform with fuzzy-matching deduplication, multi-currency normalization, and self-service Metabase dashboards - deployed with Docker Compose for 100% availability.

Apache AirflowPostgreSQLGreat ExpectationsMetabase
9
Schema Tables
5K+
Transactions Processed
4,268
Customer Records
View all projects →
About

Building data systems
that matter

I'm a data engineer and builder based in Boston, finishing my MS at Northeastern University. My real passion is building data systems that solve real problems - from raw ingestion to what the stakeholder actually needs.

At Humatics Corporation, I worked with real-time railway sensor data, building geospatial pipelines that improved location accuracy by 30% and reduced false safety alerts by 18%.

I've since built three production-grade analytics platforms from scratch - including one with an AI agent that lets non-technical users query the entire system in natural language.

Read more about me →

Sep 2023 – Dec 2025

Northeastern University

Master of Science in Electrical and Computer Engineering

GPA: 3.76

Jun 2019 – May 2023

Sri Sivasubramaniya Nadar College of Engineering

Bachelor of Engineering in Electronics and Communication

GPA: 8.84 / 10.0

Core Technologies

PythonSQLdbtKafkaDagsterAirflowBigQuerySnowflakeTableauReactLangGraphDocker
Background

Experience

Associate Information Systems Engineer

Humatics Corporation

Jun 2024 – Dec 2024 · Jun 2025 – Aug 2025

Waltham, MA

  • ▸Analyzed real-time railway sensor data across 5+ rail corridors, translating time-series signals into safety KPIs and performance reports for operational stakeholders
  • ▸Built geospatial data pipeline integrating sensor data, GTFS schedules, and track maps using GeoPandas, improving location accuracy by 30%

Teaching Assistant - Neural Networks & Deep Learning

Northeastern University

Summer 2024

Boston, MA

  • ▸Mentored 25–30 students through a rigorous deep learning curriculum with weekly office hours and one-on-one guidance on ML concepts, model implementation, and debugging
  • ▸Graded assignments and final projects, providing structured written feedback to strengthen understanding of neural architectures and training practices

Data Engineering Intern

Datator Information Technology

Oct 2022 – Mar 2023

Chennai, India (Remote)

  • ▸Engineered data collection pipeline using PCAPDroid and Wireshark, processing network traffic into structured CSV for downstream ML analysis
  • ▸Built ETL workflow extracting 28 time-series and flow-based features from raw packets using CICFlowMeter, producing analysis-ready datasets for security classification

Data Processing Intern

Resileo Labs

Jul 2022 – Oct 2022

Chennai, India (Remote)

  • ▸Built medical image processing pipeline for CT scans and thermal images, standardizing formats and resolutions for autoencoder model training
  • ▸Implemented data augmentation workflows (rotation, scaling, noise injection, brightness) expanding training dataset for improved model generalization
Expertise

Technical Skills

Analytics & BI

TableauPower BIMetabaseLooker StudioKPI Dashboards

SQL & Databases

PostgreSQLSnowflakeBigQueryMongoDBMySQLRedshift

Data Modeling

dbt (Core)Star SchemaSCD Type 2Dimensional ModelingSnowflake Schema

Statistical Analysis

A/B TestingHypothesis TestingBayesian AnalysisPower AnalysisRegression

Pipeline & Orchestration

DagsterApache AirflowApache KafkaPrefect

Cloud Platforms

AWS (S3, Redshift, Glue, EC2)GCP (BigQuery)Snowflake

Programming

PythonSQLTypeScriptBash/Shell

Data Quality

Great ExpectationsPydanticdbt TestsData Profiling

Infrastructure

DockerGitHub ActionsGitCI/CD Pipelines

AI & ML

LangGraphClaude APINeural NetworksDeep LearningPySpark

Let's build something
together

I'm looking for Forward Deployed Engineer, Data Engineer, or AI Engineer roles at startups where I can own problems end-to-end.

Get in TouchLinkedInGitHub

Boston, MA · Open to relocation & remote