Dipanshu Pandey

Software Engineer

Bengaluru, Karnataka, India3 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in backend engineering and big data solutions.
Proven track record in optimizing data pipelines.
Strong experience in ad-tech and anti-fraud systems.

Stackforce AI infers this person is a Backend Engineer specializing in Big Data solutions within the Ad-Tech industry.

Contact

dipanshu.pandey.002@gmail.com LinkedIn

Skills

Core Skills

Backend EngineeringBig Data

Other Skills

AlgorithmsAnthropic ClaudeApache AirflowApache KafkaApache SparkArtificial Intelligence (AI)CClient-HintsCompetitive ProgrammingComputer ScienceData MiningData ModelingData ProcessingData QualityData Structures

About

I am a Software Engineer with experience in building scalable, high-throughput backend and data systems across domains like ad-tech, anti-spam, and large-scale consumer platforms. Currently at Uber, I work on backend and data pipelines for Uber Eats, focusing on Spark SQL, distributed systems, and large-scale data processing. I enjoy solving complex problems in distributed systems, backend engineering, and data-intensive applications. I thrive in environments where system performance, scalability, and reliability are critical. I am also proficient with modern AI coding assistants and productivity tools, including Cursor, Claude, OpenAI, and Gemini, which I actively leverage to accelerate development and improve engineering workflows. Technical Skills Languages: Java, C++, Python, Scala Frameworks/Tools: Spark (SQL/Streaming), Hadoop, FastAPI Areas: Distributed Systems, Backend Engineering, Big Data, Microservices, System Design

Experience

Uber

Software Engineer

Jun 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

Working with web data team, Developed and integrated enrichment layers into existing ETL workflows to enhance data quality and ensure that downstream analytics teams receive accurate, actionable information. Improved end-to-end data pipeline performance by implementing advanced Spark optimizations and refined execution plans, achieving a 50% reduction in processing time while reliably handling over 6 TB of daily event data.

Spark SQLDistributed SystemsData ProcessingETL WorkflowsBackend EngineeringBig Data

Media.net

2 roles

Software Engineer

Jan 2023 – Jun 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

I worked on large-scale anti-fraud and identity systems, mining 2 TB/day of clickstream data in PySpark to build a fingerprinting model that attributes >90% of traffic without cookies. I developed a Go-based fraud replay service using WebGL, processing 1K events/sec to generate session videos that cut investigation time from hours to minutes. I also designed a UA-spoof detection pipeline leveraging Client-Hints vs. legacy User-Agent mismatches, improving spoofed-agent catch by 15% and protecting 2M impressions daily. As an intern, I enhanced the Pixel Verification System by building a Selenium framework and deploying a scalable FastAPI microservice with Docker.

PySparkGoWebGLFastAPISeleniumBackend Engineering+1

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos · India

Collaborated with the Spam Detection team to optimize the data collection process for the verification system. Compiled a comprehensive list of over 20 distinct user engagement activities for the framework’s
configuration. Created an automated framework utilizing Selenium to replicate user activities.

Selenium

Coding ninjas

Problem Setting

Dec 2021 – May 2022 · 5 mos · Remote

Created data structure and algorithm problems and drafted well-structured editorials for problems, explained various approaches for problems along with their time and space complexity.

Data StructuresAlgorithms