Atish Sinha — Software Engineer

Hi, I'm Atish and I am passionate about software engineering and data. I am deeply engrossed in the cutting-edge realms of data science, machine learning, and cloud computing. My academic foundation is robust, anchored in advanced mathematics, sophisticated programming techniques, and an unwavering commitment to solving complex problems. I have amassed a wealth of experience in data engineering, data warehousing, and data analysis through my tenure as a Senior Software Development Engineer and Data Engineer within the data sciences team at Disney Star. There, I was instrumental in designing and implementing ETL pipelines, APIs, and data models that catered to a variety of data sources and IoT devices. My toolkit included Spark, Scala, Airflow, Fastapi, Pydantic, Redis, and GCP, enabling me to significantly enhance dashboard performance, streamline daily report generation, and foster data-driven decision-making processes. My initiatives in optimizing queries, migrating backend systems, and spearheading POCs for Presto and Starburst Trino were pivotal in delivering scalable and high-quality solutions. Collaborating closely with front-end teams, data scientists, and business stakeholders, I prided myself on my ability to bridge the gap between complex data engineering challenges and strategic business objectives. My expertise is deeply rooted in data warehousing, with a particular focus on Amazon Redshift, and Amazon RDS, as well as backend and data engineering. Additionally, my tenure as an intern at Goodera honed my skills in front-end development. I designed and built responsive dashboards using React, Node.js, and JavaScript, enabling various clients to effectively monitor and manage their CSR projects. This experience not only expanded my technical repertoire but also instilled in me a holistic understanding of software development. In my previous role at Bank of America, I am part of the Starburst/Trino Query Engine Team where I was leading a team of 4 developers developing the entire stack in and around the query engine. I am always open to making new connections and discussing topics of interest. Feel free to connect with me.

Stackforce AI infers this person is a Data Engineering expert with a strong focus on cloud-based solutions in the media industry.

Location: Seattle, Washington, United States

Experience: 5 yrs 9 mos

Skills

Data Engineering
Backend Development
Data Warehousing
Etl Development
Frontend Development
Dashboard Development

Career Highlights

Expert in data engineering and cloud computing.
Led development of performance-critical data systems.
Proficient in building scalable ETL pipelines.

Work Experience

Microsoft

Software Engineer II (5 mos)

Bank of America

Software Developer - Application Architect IV (1 yr 4 mos)

University at Buffalo

Graduate Student Researcher (8 mos)

Graduate Student Assistant (3 mos)

The Walt Disney Company

Senior Software Development Engineer (1 yr)

Data Engineer (2 yrs 5 mos)

Goodera

Software Intern (5 mos)

QA InfoTech - Your Software Testing Partner

Engineering Intern (2 mos)

Education

Master's degree at University at Buffalo

Bachelor of Engineering - BE at Birla Institute of Technology and Science, Pilani

Atish Sinha

Software Engineer

Seattle, Washington, United States5 yrs 9 mos experience

Key Highlights

Expert in data engineering and cloud computing.
Led development of performance-critical data systems.
Proficient in building scalable ETL pipelines.

Stackforce AI infers this person is a Data Engineering expert with a strong focus on cloud-based solutions in the media industry.

Contact

Skills

Core Skills

Data EngineeringBackend DevelopmentData WarehousingEtl DevelopmentFrontend DevelopmentDashboard Development

Other Skills

Python (Programming Language)Data LoadingEngineering Data ManagementServerless ComputingAmazon S3Amazon EC2JiraAWS LambdaApache SparkScalaAirflowReactNode.jsJavaScriptMongoDB

About

Experience

5 yrs 9 mos

Total Experience

1 yr 9 mos

Average Tenure

5 mos

Current Experience

Microsoft

Software Engineer II

Jan 2026 – Present · 5 mos · Seattle, Washington, United States · Hybrid

Bank of america

Software Developer - Application Architect IV

Aug 2024 – Dec 2025 · 1 yr 4 mos · Richmond, VA · Hybrid

In my role as a Software Developer on the Starburst data platform team, I led the design and development of systems built on the Trino/Starburst query engine, spanning catalog architecture and creation, query optimization, and ETL pipelines into on-prem object storage (NetApp StorageGRID). I owned the end-to-end design of performance-critical components, including a multi-layer caching subsystem leveraging object storage and AI-driven intelligent caching to reduce query latency significantly. Beyond core data systems, I designed and built backend APIs for low-latency data access, internal CI/CD tooling with automated validation for Starburst deployments, and platform services such as centralized credential management, a management control unit for configuration lifecycle, an operational control plane, and a secure file-sharing portal. My work focused on building scalable, reliable, and operable systems with strong ownership from design through production.

Python (Programming Language)Data LoadingEngineering Data ManagementData EngineeringBackend Development

University at buffalo

2 roles

Graduate Student Researcher

Promoted

Jan 2024 – Sep 2024 · 8 mos · Buffalo, New York, United States · On-site

Working with Professor Bina Ramamurthy on Decentralized Finance (DeFi).

Graduate Student Assistant

Sep 2023 – Dec 2023 · 3 mos · Buffalo, New York, United States · On-site

Handling the grading for the course CSE4/531 (Algorithm Analysis and Design).

The walt disney company

2 roles

Senior Software Development Engineer

Jan 2022 – Jan 2023 · 1 yr

Designed the data models and optimized existing queries which helped in improving the dashboard performance.
Worked on backend migration from redshift to GCP (bigquery, cloudsql)
Migrated backend APIs to bigquery (using stored procedures that are managed by DBT)
(POC) Worked on analyzing the query performance on presto, Starburst Trino.

Serverless ComputingAmazon S3Amazon EC2JiraData EngineeringData Warehousing

Data Engineer

Jul 2019 – Dec 2021 · 2 yrs 5 mos

Designed and developed ETL pipelines using Spark, Scala and Airflow for various data sources and IOT devices for the analysis of viewership data (stored at s3).
Enhanced ETL pipeline by creating a event driven architecture using Redis pub/sub which helps to switch on certain dashboard functionality.
Developed API's using Fastapi and Pydantic for the front-end team to fetch the transformed data.
Automated daily report generation on slack for data monitoring.
Developed and Deployed various AWS Lambda functions for data transformations, dag triggers on airflow and auto upload of files on s3 via email (using Amazon Simple Email Service).
Worked on writing a stable helm chart for Apache Druid.
Did a POC on Clickhouse for getting faster results for certain query patterns. (Sub Second performance was obtained).
Developed a query logging mechanism using SQS and AWS Lambda.

AWS LambdaJiraData EngineeringETL Development

Goodera

Software Intern

Jul 2018 – Dec 2018 · 5 mos · Bangalore

Major work included :
1. Creation of Dashboards which would help the clients to track the progress of their various CSR projects.
Creating full-fledged dynamic dashboards for Tata Trusts on Grants Platform for working with data in real-time and perform modifications if necessary.
Fixed and created various dashboards on sustainability and MNE ( Monitoring and Evaluation) Platform.
2. Writing python scripts for various feature implementations.
3. Writing MongoDB queries and applying aggregation to represent data on the dashboards in the
required format.