Who is Sri Balaji Muruganandam?

Sri Balaji Muruganandam is a Data Engineer based in Buffalo, New York, USA. He works at Resultant, where he builds reliable data pipelines and software on Google Cloud Platform. He is Google Cloud certified and an award-winning hackathon builder who is passionate about solving real-world problems with data and software.

What does Sri Balaji Muruganandam do?

Sri Balaji Muruganandam works as a Data Engineer at Resultant. He designs and builds data pipelines, cloud data infrastructure, and full-stack applications, primarily on Google Cloud Platform using tools such as BigQuery, Apache Airflow, dbt, Python, and SQL.

Where is Sri Balaji Muruganandam based?

Sri Balaji Muruganandam is based in Buffalo, New York, in the United States.

Where does Sri Balaji Muruganandam work?

Sri Balaji Muruganandam works at Resultant, a data and technology consulting firm, as a Data Engineer.

What is Sri Balaji Muruganandam known for / what is his expertise?

He specializes in data engineering, Google Cloud Platform, BigQuery, Python, SQL, Apache Spark, Apache Airflow, dbt, ETL/ELT pipelines, data warehousing, analytics engineering, machine learning, and software engineering.

What certifications does Sri Balaji Muruganandam have?

He holds the Google Cloud Professional Data Engineer, Google Cloud Professional Database Engineer, Apache Airflow Fundamentals, and AWS Certified Cloud Practitioner certifications.

What awards has Sri Balaji Muruganandam won?

He won 1st place at the Morgan Stanley Code to Give Hackathon (2022), won the Design Your Destiny hardware hackathon (1st among 5,000+ teams nationwide, 2019), was a national finalist in the Smart India Hackathon (2018 and 2020), received the Best Paper Award at ICRACE 2020, and holds patent No. 202041009208 for Clinicon, a voice-driven medical assistant for rural healthcare.

Where did Sri Balaji Muruganandam study?

He earned a Master of Professional Studies from the University at Buffalo, The State University of New York (SUNY), and a Bachelor of Engineering from Anna University.

How can I contact Sri Balaji Muruganandam?

You can reach him by email at contact@sribalaji.io, or connect on GitHub (github.com/iSriBalaji), LinkedIn (linkedin.com/in/sri-balaji-muruganandam), or X/Twitter (@isribalaji).

Compass Ink Books

Sri Balaji Muruganandam

New , US

my resume!

Hey, I'm Sri, a problem solver and a data professional.I grew up in Chennai and moved to the US for higher studies after my undergrad in engineering, along with my friend, to explore and seek out more opportunities. It was only after spending a few years studying and exploring that I realized how much I didn't know, and how much there is to learn in life, tech, and engineering.

Buffalo will always be my second home. I went to Velammal for my undergrad and graduated with a Master of Professional Studies in Data Science and Applications from the University at Buffalo, and have continued working across multiple data roles, both full time and as an intern, ever since.

Emptiness, for me, is the approach I take with each new domain or thing I try. I show up with an empty bowl, one that lets me fill it with whatever valuable experience or content comes from actually doing the work.

I've spent most of my experience building data warehouses, ingestion pipelines, and end to end data systems for US state government and enterprise clients, working across telecommunications, insurance, education, labor exchange and healthcare.

I love building and solving problems with simple, reliable solutions.I've taken part in a number of project fests, presentations, and hackathons over the years, and won a few. I'm genuinely proud of winning Morgan Stanley Code to Give hackathon, being a finalist at Smart India Hackathon in 2018 and 2020, and winning Design Your Destiny, a hardware hackathon, first among 5000+ teams from all over India. I try to always keep one or two active projects going, or a course I'm learning from, at any given point in time.

I like to think through how a process or architecture actually works end to end, not just the surface of it. I stay curious about new tech milestones and products, read tech blogs regularly, and end up talking about them with friends more than they probably asked for. I'm also fairly active on Twitter, where I share thoughts on things I come across or find interesting.

I enjoy going down rabbit holes in domains that aren't mine: mechanical systems, electronics, taxes, stocks, finance, geopolitics, global economics.

Out of all the innovation in tech and computer science, computer networks stand out to me as one of the best, simply because of what it enables: connecting people across the entire world. And out of every system humankind has built, I think mapping the whole world and making it searchable in milliseconds is one of the most impactful things we've done. My favorite product, hands down, is Google Maps.

Experience

hover on projects for details

Apr 2023 · Present

Data Engineer II · Senior Consultant · Resultant

Indiana, US (Remote)

Colorado Dept of Labor and Employment · ET Platform
Government
Colorado Dept of Labor and Employment
ET Platform · March 2026 · Present
Government
- Architected an enterprise workforce data platform on Snowflake, integrating data from 8 heterogeneous source systems through AWS S3, Snowpipe, Python, SQL, and Looker, establishing a scalable medallion architecture serving as the org's trusted reporting platform.
- Engineered a metadata driven ingestion framework with 34+ Snowpipes, 37+ Streams, 40+ Tasks, and 56+ Stored Procedures, automating end to end ingestion, transformation, and orchestration.
- Designed reusable Python based ZIP processing frameworks capable of validating, extracting, routing, and reprocessing complex agency file deliveries with intelligent deduplication and automated recovery.
- Built monitoring and data quality frameworks: centralized pipeline execution logging, failure detection, Snowpipe alerting, improving reliability across production workloads.
- Established CI/CD standards using Azure DevOps and schemachange, introducing version controlled DB deployments, dependency aware releases, hotfix processes, and engineering docs that accelerated onboarding.
Knights of Columbus · Data Modernization
Insurance
Knights of Columbus
Data Modernization · Jun 2025 · Feb 2026
Insurance
- Engineered enterprise scale pipelines using Talend Cloud, Snowflake (Data Vault 2.0), Microsoft Dynamics CRM, Apache Airflow, and Python, integrating data across 14+ critical business domains into a governed cloud warehouse.
- Designed a scalable primary key split architecture for 14 SEI source tables, decomposing complex entities into normalized CT tables and reassembling via SQL views, restoring incremental processing with zero data loss.
- Developed production grade integrations with Microsoft Dynamics CRM using REST APIs, OData, Talend, and Snowflake; built reusable batch payload frameworks and eliminated duplicate load issues across multiple CRM entities.
- Built an automated Airflow monitoring and alerting framework using Python, Airflow REST API, Jinja2, and SMTP, proactively detecting failed DAG executions and generating HTML health reports.
- Optimized Talend ETL pipelines with dynamic context driven configs, lookup caching, batch tuning, and parallel execution. Mentored teammates and presented solutions in sprint reviews.
Wyoming OneHealth · Data Platform Prototype
Healthcare
Wyoming OneHealth
Data Platform Prototype · Apr 2025
Healthcare
- Built a Google Cloud based One Health data platform prototype using BigQuery, Cloud Storage, Cloud Functions, Python, and Looker — consolidating public health, food recall, and environmental data from FDA, CDC, EPA, and USDA.
- Developed a serverless ingestion pipeline with Cloud Functions to extract FDA food enforcement recall data, transform with pandas, and land curated CSVs into Cloud Storage for downstream analytics.
- Built CDC NORS outbreak ingestion using paginated REST APIs, standardized schema naming, and loaded cleaned data into BigQuery with metadata labels for traceability.
- Implemented dynamic BigQuery SQL automation using INFORMATION_SCHEMA and EXECUTE IMMEDIATE to copy and filter EPA air quality datasets into Wyoming specific analytical tables.
NM Dept of Education · Longitudinal Data System (RISE NM)
Education
NM Dept of Education
Longitudinal Data System (RISE NM) · Feb 2025 · Jun 2025
Education
- Performed a comprehensive technical assessment of a statewide Google Cloud longitudinal platform spanning 5 government agencies, evaluating BigQuery, Cloud Composer, Data Fusion, Cloud Storage, Tamr, Cloud DLP, Looker, and Terraform.
- Reviewed 250+ pages of technical documentation, analyzing ETL pipelines, metadata management, data governance, security controls, and CEDS compliant dimensional models to produce modernization recommendations.
- Led root cause analysis of critical incremental load failures in the Tamr MDM pipeline, identifying synchronization and MUID generation issues impacting historical data retention.
- Collaborated directly with Google Cloud Professional Services, state agencies, solution architects, and business stakeholders to define the Phase 2 modernization roadmap.
Belfor Property Restoration · Document & Email Search
AI · LLM
Belfor Property Restoration
Document & Email Search · Dec 2024 · Jan 2025
AI · LLM
- Developed an enterprise AI powered document search platform using Vertex AI Search, FastAPI, Streamlit, Cloud Run, and Cloud Storage, enabling natural language search across 20+ years of contracts and archived email data.
- Engineered data ingestion that transformed unstructured HTML emails and PDFs into structured metadata and search indexes, supporting semantic search, extractive answers, and AI generated summaries.
- Built production grade REST APIs with FastAPI for document search, upload, indexing, filtering, pagination, and request validation.
- Designed secure architecture with Google Cloud Storage V4 Signed URLs, least privilege IAM, and authenticated Cloud Run services. No private contract data exposed.
- Containerized and deployed using Docker, Cloud Build, and Cloud Run, establishing automated CI/CD for scalable cloud native AI applications.
CO Dept of Public Health · Data Lakehouse
Healthcare
CO Dept of Public Health
Data Lakehouse · Apr 2023 · Jan 2025
Healthcare
- Engineered a cloud native Data Lakehouse on GCP using BigQuery, Cloud Composer (Airflow), Cloud Data Fusion, Cloud SQL, and Python, integrating public health data from multiple systems into a centralized Data Vault 2.0 warehouse.
- Designed and developed scalable Data Vault 2.0 pipelines: Hub, Satellite, and Link models, metadata driven mappings, lookup enrichment, and standardized data quality rules for healthcare datasets.
- Built and optimized automated ETL workflows in Apache Airflow with incremental loading, scheduling, error recovery, and modular transformation components.
- Implemented data standardization frameworks: timezone normalization, address cleansing, ZIP code standardization, lookup crosswalks, schema mapping, and reusable transformation modules.
- Enforced cloud security best practices: Private IP, SSL, Cloud Proxy, and role based access controls. Collaborated with architects, data modelers, and public health stakeholders throughout the SDLC.

Jun 2022 · Aug 2022

Data Science Intern · Fellowship.ai

Remote, US

Fellowship.ai · Plant Based Nutrition Q&A
AI · LLM
Fellowship.ai
Plant Based Nutrition Q&A · Jun 2022 · Aug 2022
AI · LLM
- Trained and fine tuned a BERT based question answering model using the Haystack framework to deliver natural language answers for plant based nutrition queries.
- Built Python based data ingestion pipelines to scrape, clean, and preprocess 2,500+ articles, podcasts, and YouTube transcripts for NLP model training.
- Coordinated an 8 member team via Agile daily standups, tracking progress and communicating technical updates with project leadership.
- Studied and presented 2 research papers on audio source separation and YOLOv7 to fellow interns as part of a reading group.

Aug 2020 · Jul 2021

Cloud Data Engineer · Tata Consultancy Services

Chennai, India

Vodafone Nucleus · Data Warehouse
Telecom
Vodafone Nucleus
Data Warehouse · Aug 2020 · Jul 2021
Telecom
- Engineered and optimized 150+ cloud native ETL pipelines on GCP using Cloud Data Fusion, Cloud Composer, and BigQuery, ingesting and transforming 50+ TB of telecom data into partitioned warehouse tables.
- Improved large scale processing by tuning Spark on Dataproc and optimizing BigQuery through partitioning, clustering, and materialized views, reducing pipeline runtime by 30+ hours and increasing efficiency by 24%.
- Designed metadata driven solutions using CIM/EIM data models, workflow orchestration, and data lineage, eliminating 90% of manual effort and saving 100+ engineering hours.
- Partnered with Google Cloud engineers to develop reusable Cloud Data Fusion plugins, validate Oracle to GCP migration, and deliver GDPR compliant governed datasets.
- Collaborated across teams in the UK, Germany, Portugal, Hungary, and Italy. Mentored 4 engineers and earned the TCS Applause for Team Award for the Vodafone Nucleus program.

Jun 2020 · Jul 2020

Data Analytics Virtual Intern · KPMG

Remote

KPMG · Data Analytics Internship
Finance
KPMG
Data Analytics Internship · Jun 2020 – Jul 2020
Finance
- Completed a virtual data analytics internship covering data quality assessment, data insights, and data presentation using Excel, Python, and Tableau.

Words From People I've Worked With

Had the privilege having Sri Balaji on my Data Engineering team at Resultant for a couple of years. He's a talented Data Engineer and solid contributor which is complimented by his natural curiosity for learning new skills. Great team player and could not recommend a better person work with.

Brian Lettow

Data Engineering Manager, Resultant

From the Golden Gate Bridge

Pet Projects