About
Learn more about me
Data / Analytics Engineer @ Amazon
I build and own the data pipelines, trusted data products, and metric systems leadership makes decisions on — end to end, from raw source to reconciled dataset to the dashboard on top. I care about doing it responsibly with sensitive data: least-privilege access, row/column-level controls, and lineage tracking.
- Email: ghoshtrina324@gmail.com
- Location: Seattle, WA
- Highest Degree: Master of Science
I've spent 5+ years at Amazon in supply-chain data & analytics engineering, working right where analytics meets data engineering: dimensional modeling and grain design, idempotent partitioned loads that backfill safely, cross-source reconciliation and data-integrity fixes, and orchestration on AWS (Redshift, S3, Glue, Lambda).
Lately I've gone deeper on the modern analytics-engineering stack — dbt, Airflow, and tested, CI-backed Python pipelines — most recently on aurentum-analytics, an end-to-end pipeline over real mutual-fund data.
I focus on building the data foundation, not just reporting on it.
Skills
One of my many mottos in life is to never stop learning. Along with my Master's Degree, I also earned a Certificate of Advanced Study in Data Science.
Even today, I keep myself updated with technology trends in the data space by engaging in MOOCs.
Skill Certifications
LinkedIn Recommendations
Trina was one of the most dedicated Data Science students that I have had in my class. She was always present, drove good analytical conversations and insights, as well as collaboration with my self and fellow classmates. Her work was excellent, well thought through and detailed. Great communication skills both written and verbal. I would highly recommend Trina for a analytical position, especially involving data! Thank you.
Erik Anderson
Director of Information Systems
Syracuse University
I taught Trina during her first weeks and months as a Masters student in the United States. From the beginning, she was watching and listening, undaunted by all of the newness that surrounded her. But quite quickly, she found her voice, her rhythm, and what she wanted to be her added value. She is not an aggressive, arrogant person, but Trina's value is the power of an organized, deliberate, careful, and reflexive approach. She is more than the skills listed on her resume; she is an asset for her entire approach to work and commitment to the organization she is serving. I am happy to recommend her!
Ingrid Erickson
Assistant Professor
School of Information Studies, Syracuse University
Resume
Sumary
Trina Ghosh
Data / analytics engineer with 5+ years at Amazon building and owning production data pipelines, trusted data products, and metric systems on AWS — with a governance-first approach to sensitive data. Strong in SQL, Python, and dimensional modeling, and increasingly dbt & Airflow.
- Seattle, WA
- ghoshtrina324@gmail.com
Education
Master of Science in Information Management
Aug 2018 - May 2020
Syracuse University, Syracuse, NY
Majored in Information Management with a focus on data analytics.
GPA of 3.95 out of 4.
Certificate of Advanced Study in Data Science
Aug 2018 - May 2020
Syracuse University, Syracuse NY
Majored in Data Science
GPA of 3.95 out of 4.
Bachelor of Technology in Computer Science
Jul 2014 - May 2018
Amity University, New Delhi, India
Majored in Computer Science Engineering.
GPA of 3.5 out of 4.
B.S. equivalent.
Academic Experience
Graduate Teaching Assistant
Jul 2020 - Sep 2020
Syracuse University, Syracuse NY (Remote)
Course: Data Science with R (IST 687)
Graduate Faculty Assistant
Aug 2019 - May 2020
Syracuse University, Syracuse NY
Course: Information Systems Project Management (IST 645)
Professional Experience
Data / Analytics Engineer — Amazon
Feb 2021 - Present
Amazon, Seattle, WA
- Build and own production data products end to end on a large data lake — hardening fragile pipelines into documented, infrastructure-as-code ones, then productionizing them with idempotent, incrementally-loaded models that backfill safely and reconcile to source.
- Rebuild reporting and metric pipelines at the right grain (SQL → scheduled ETL → dashboards), root-causing data-integrity issues and tuning transforms for significant performance gains.
- Lead an effort to standardize how teams build and ship data products — consolidating bespoke pipelines into reusable, CI/CD-delivered datasets, with tooling (including an MCP server) that connects engineers' AI/IDE agents directly to the warehouse.
- Build metadata-driven ingestion pipelines on AWS (S3, Glue, Lambda) that automate dashboard and dataset delivery and remove substantial manual effort.
- Apply a governance-first approach to sensitive data: least-privilege access, access controls, and data-integrity checks.
- Tools & technologies: SQL, Python, Amazon Redshift, S3, Glue, Lambda, AWS CDK; dbt, Airflow, DuckDB (personal projects).
Business Data Analyst
Jun 2019 - Feb 2021
Syracuse University, Syracuse, NY (Currently Remote)
- Previously an intern until May 2020
- Building best in class data architecture & ETL pipelines to support and improve analytical & reporting needs
- Owning the design, development & maintenance of a scalable BI dashboard for 70% more efficient operations planning
- Enabling effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible format
- Translating ambigious business problem statements into actonable analytical solutions by partnering with cross-functional teams
- Identifying improvements and opportunities using data mining techniques (clustering analysis, forecasting)
- Tools & Technologie used: MS PowerBi, MS Excel, Python, MS SQL Server
Data Analyst Intern
Feb 2019 - Jun 2019
iConsult Collaborative, Syracuse, NY
- Produced recommendations from research work of Syracuse city's poverty causes through data analysis & mining
- Formulated KPIs & a dashboard for client to better understand and evaluate the city's poverty conditions
- Leveraged data analysis tools to build ML models and statistical tests with very low error rate
- Tools & Technologies used: Python, Tableau, MS Excel
Extra-Curriculars
Active Volunteer
'Nanhi-Kali' Syracuse Chapter
Syracuse University
Organized fundraising events to sponsor education for underprivileged girls in rural India.
Sep 2018 to May 2020
Event Coordinator
South Asian Students Association
Syracuse University
Oversaw cultural events on campus to foster inclusivity and diversity for South Asian students on campus.
Feb 2019 to Mar 2020
Graduate Peer Mentor
iSchool Career Services & iSchool Graduate Students Organization
Syracuse University
Mentored juniors on graduate school navigation & career building strategies.
Sep 2019 to May 2020
Portfolio
My Works
A flagship data-engineering build alongside professional analytics and academic projects.
- All
- Data Engineering
- Data Analytics
- Data Analytics - Advanced
- Tableau Dashboards
Contact
Contact Me
My Address
Seattle, WA
My Online Profiles
Email Me
ghoshtrina324@gmail.com