Chandrakant Gopalan
Senior Data Engineer
City of Rochester, New York, United States
Summary
👤
Senior🎓
Top SchoolChandrakant Gopalan is a Senior Data Engineer with 15 years of experience designing and implementing data-intensive applications using Python, SQL and NoSQL systems. He has a strong track record in healthcare and analytics platforms, contributing to production ETL, dbt transformations, Airflow orchestration, and cloud data stacks at companies like Aledade and Carrum Health. An active open-source contributor, Chandrakant has improved core back-end behavior in high-profile projects such as Metabase and dbt-core—fixing date filtering, ambiguous SQL issues, and refining error handling that directly improve analytics reliability. Comfortable across Python, Java and some Clojure, he blends pragmatic engineering with a focus on correctness and observability (e.g., setting PostgreSQL application_name for better monitoring). Based in Rochester, NY and educated at IIT Kharagpur, he’s also known for a quietly curious streak—contributing bug fixes that uncover subtle edge cases in widely used analytics tooling.
15 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Engineering, Bachelor's degree, Engineering at Indian Institute of Technology, Kharagpur
Stackoverflow
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Github Skills (23)
postgresql10
python10
viewpoint10
clojure-cli10
databases10
analytics10
dbt10
data-engineer10
clojure10
query-parser10
sql10
query-engine10
querying10
database10
data-analysis10
Programming languages (9)
Github contributions (5)
metabase/metabase
Apr 2018 - Dec 2018
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 4 PRs, 23 comments in 7 months
Contributions summary:Chandrakant primarily focused on fixing bugs and implementing improvements related to date filtering and SQL query processing within the Metabase application. They addressed issues in date range calculations, specifically for "include today" functionality. They also resolved an issue related to ambiguous column exceptions arising from self-referential foreign key relationships, contributing to the accuracy and robustness of the query processing engine. Additionally, the user made adjustments to the parameters middleware, affecting the way field filters are validated and used.
datasimplestfastestbusiness-analyticsbusiness-intelligence
dbt-labs/dbt-core
Mar 2021 - Mar 2021
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:3 reviews, 12 commits, 2 PRs in 12 days
Contributions summary:Chandrakant primarily focused on improving error handling and messaging within the dbt-core project, addressing issues related to duplicate macros and file paths. They corrected failing tests and improved the user experience by refining error messages. Additionally, the user implemented functionality to set and default the `application_name` for PostgreSQL connections, contributing to improved database connection management and monitoring.
analyticsdbt-viewpointtransformanalystssql
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