Surya Chakraborty

Data Engineer

Austin, Texas, United States7 yrs 4 mos experience

Key Highlights

Expert in backend development with diverse tech stack.
Proven track record in high-impact projects.
Strong focus on clean code and best practices.

Stackforce AI infers this person is a Backend-focused Software Engineer with experience in SaaS and Fintech industries.

Contact

sschakraborty2510@gmail.com LinkedIn

Skills

Core Skills

Back-end Web DevelopmentSoftware DevelopmentWeb DevelopmentPython (programming Language)Data AnalysisProgramming

Other Skills

Amazon Web Services (AWS)Apache SparkBig Data AnalyticsC++Database Management System (DBMS)FlaskGo (Programming Language)Google Cloud Platform (GCP)HTMLJavaKubernetesMicrosoft AzureMongoDBNode.jsObjective-C

About

My teammates appreciate my eagerness to work on a diverse set of problems, while focusing on clean code and best practices. While my interests have been in the backend, working at startups has taught me to switch around the stack.

Experience

Cloudflare

Data Engineer

Jun 2024 – Present · 1 yr 9 mos · Austin, TX

Regrello

Software Engineer

Jun 2023 – Jun 2024 · 1 yr · Austin, TX · Remote

1. Owned business-critical user-facing features such as "Email notifications", "Due dates", and "Workflow ID", used by manufacturing giants like Dell, Flex, and Bosch.
2. Revamped "Search" by building the first internal use of a scalable message queue, handling a peak load of over 500K messages in sub 5 seconds.

Back-End Web DevelopmentGo (Programming Language)Software DevelopmentTypeScriptGoogle Cloud Platform (GCP)Kubernetes+2

Salesforce

Software Engineer

May 2022 – Aug 2022 · 3 mos · San Francisco Bay Area

Designed and implemented the data model, APIs, and frontend for two user-requested features on the Homepage of CRM Analytics: "hide" and "pin" collections.

React.jsBack-End Web DevelopmentSoftware DevelopmentJavaWeb DevelopmentProgramming

Georgia institute of technology

Graduate Research Assistant

Aug 2021 – May 2023 · 1 yr 9 mos · Atlanta, GA

1. Developed the WISE toolkit to analyze "millibottlenecks" that cause VLRTs in n-tier architectures costing web giants like Amazon and Google millions of dollars per year, under Dr Calton Pu.
2. Designed an auto-updating data pipeline for the State of Georgia to geocode 10+ million postal addresses and infer commercial sales tax zones for ecommerce deliveries, for the College of Design.

Python (Programming Language)PostgreSQLMicrosoft AzureSQLC++Programming+1

Zendrive

3 roles

SDE 2 - Backend Engineering

Promoted

Jul 2019 – Jun 2021 · 1 yr 11 mos

1. Geo-data for insurance scoring: Powered large-scale queries using Scala-Spark to enrich petabytes of data with geospatial features; achieved 5x faster speed than Postgres.
2. Stop-sign detection: Scaled the pipeline used to detect stop-signs on 17M US roads with 95+% precision to feed the proprietary insurance model.
3. Client dashboard: Owned and designed the Data Flow, Data Model, and APIs to render data of 100+ K users with sub-second latency.
4. Trained 17 engineers in Spark, git, and Airflow. Technical mentor to 2 new engineers.

Python (Programming Language)PostgreSQLBack-End Web DevelopmentSoftware DevelopmentApache SparkFlask+2

SDE 1 - Data Engineering

Jul 2018 – Jun 2019 · 11 mos

Presented data-driven insights directly to the Co-founder’s office for pitching to clients.
Productionized APIs to query sensor data at scale while abstracting Spark optimizations.

Python (Programming Language)Software DevelopmentApache SparkProgramming

Intern

Jan 2018 – Jun 2018 · 5 mos

* Sensorlab: Developed an iOS app to collect and label empirical data from 9 phone sensors; app was used to develop 2 new production algorithms and in BMW crash tests in Munich.

Software DevelopmentProgrammingObjective-C