Kuldeep Pal

Software Engineer

Bengaluru, Karnataka, India7 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 7 years of experience in Data Engineering and Backend Engineering.
  • Expert in building scalable data products and backend systems.
  • Proficient in AI integration within data ecosystems.
Stackforce AI infers this person is a Data Engineering and AI specialist in FinTech and Retail sectors.

Contact

Skills

Core Skills

Data EngineeringBackend EngineeringData Science

Other Skills

AI AgentsAPI DevelopmentAWS SageMakerAlgorithmsAmazon Web Services (AWS)Apache AirflowApache HiveApache KafkaApache SparkApache Spark StreamingArtificial Intelligence (AI)Backend REST APIsBig Data AnalyticsBig Data ProcessingBusiness Analytics

About

๐—›๐—ฒ๐—น๐—น๐—ผ, ๐—œ'๐—บ ๐—ž๐˜‚๐—น๐—ฑ๐—ฒ๐—ฒ๐—ฝ ๐—ฃ๐—ฎ๐—น. I have 7 years of experience across ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด, ๐—•๐—ฎ๐—ฐ๐—ธ๐—ฒ๐—ป๐—ฑ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด, ๐—š๐—ฒ๐—ป๐—”๐—œ, ๐—ฎ๐—ป๐—ฑ ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€, working in Retail, E-commerce, FinTech, Healthcare, and Insurance. My work focuses on designing scalable, cost-efficient data and backend platforms that support high-volume processing and deliver measurable business impact. I build systems that handle data at scaleโ€”both batch and streamingโ€”and backends that are distributed, reliable, and optimized. ๐—–๐—ผ๐—ฟ๐—ฒ ๐—–๐—ผ๐—บ๐—ฝ๐—ฒ๐˜๐—ฒ๐—ป๐—ฐ๐—ถ๐—ฒ๐˜€ (T - Shaped) ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด โ€“ Large-scale data lakes, lakehouse and warehouses on AWS/GCP, real-time streaming pipelines, Spark and Kafka processing, batch ETL, data quality automation, and migration of enterprise-grade systems. ๐—•๐—ฎ๐—ฐ๐—ธ๐—ฒ๐—ป๐—ฑ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด โ€“ High-performance microservices, distributed processing workflows, REST API architectures, and systems built for reliability, observability. ๐—”๐—œ/๐— ๐—Ÿ & ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด โ€“ Production-ready AI agents, RAG systems, workflow automation, and integration of AI into data and backend ecosystems. ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ฒ ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ๐˜€: Python, SQL, Scala, Java ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด: Spark, PySpark, Kafka, Airflow, Databricks, Hadoop ๐—•๐—ฎ๐—ฐ๐—ธ๐—ฒ๐—ป๐—ฑ: Spring Boot, FastAPI, REST APIs, Microservices ๐—”๐—œ/๐— ๐—Ÿ: AI Agents, RAG, LangChain, MCP Servers, MLflow ๐—ฆ๐˜๐—ฟ๐—ฒ๐—ฎ๐—บ๐—ถ๐—ป๐—ด: Kafka, Spark Structured Streaming ๐—–๐—น๐—ผ๐˜‚๐—ฑ: AWS (S3, EMR, Redshift, Glue, Lambda), GCP (BigQuery, Dataproc, GCS) ๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ๐˜€: BigQuery, Redshift, Elasticsearch, PostgreSQL, MySQL, MongoDB ๐——๐—ฒ๐˜ƒ๐—ข๐—ฝ๐˜€: Docker, Kubernetes, Jenkins, Terraform, CI/CD ๐—–๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜ ๐—ฃ๐—ผ๐—ฟ๐˜๐—ณ๐—ผ๐—น๐—ถ๐—ผ: https://kuldeep-pal.site/ ๐—•๐—น๐—ผ๐—ด๐˜€: https://sites.google.com/view/kuldeepallblogs/home ๐—–๐—ฎ๐—น๐—น: https://cal.com/kuldeep.pal/meet-kuldeep Letโ€™s build scalable and impactful systems together.

Experience

7 yrs 9 mos
Total Experience
2 yrs 7 mos
Average Tenure
4 yrs
Current Experience

Walmart global tech

2 roles

Senior Software Engineer - Data

Promoted

Oct 2025 โ€“ Present ยท 8 mos ยท Bengaluru, Karnataka, India

  • SDE 4
  • ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ/๐—จ๐—ป๐—ถ๐˜: Risk Investigation and Transaction | Data Engineering, AI & Backend Services
  • โ— Building Data Products end-to-end: Data Ingestion, Data Integration, Data Processing and Loading.
  • โ— Building Backend REST APIs
  • โ— Building AI Agents as part of Data Platform initiatives
Data IngestionData IntegrationData ProcessingBackend REST APIsAI AgentsData Engineering+1

Data Engineer

Jun 2022 โ€“ Oct 2025 ยท 3 yrs 4 mos ยท Bengaluru, Karnataka, India

  • SDE 3 / Data Engineer 3
  • ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ/๐—จ๐—ป๐—ถ๐˜: Risk Investigation, Fraud Detection and Compliance | Data, AI & Backend Engineering
  • โ— Building Data Products: Big data processing optimizations, Data Ingestion, Data Integration, Data Processing and Loading
  • โ— Building Backend REST APIs
  • โ— Building ML pipelines for Risk Identification and Classification
  • โ— Driving operational excellence through Java 8-17 migrations and DORA metrics optimization
Big Data ProcessingData IngestionData IntegrationBackend REST APIsML PipelinesData Engineering+1

Zs

Data Engineer

Aug 2021 โ€“ Jun 2022 ยท 10 mos ยท Pune, Maharashtra, India ยท Hybrid

  • Group/Unit: Business Technology Solutions Associate Consultant for Data Platform (ZAIDYN )
  • Domain: Healthcare | Big Data & Cloud Architecture

Anz

Data Science Engineer (Intern)

May 2020 โ€“ May 2020 ยท 0 mo ยท Remote

  • Group/Unit: Engineering and Technology- Credit Analytics
  • Domain: Banking
  • โ–บ Worked on a dataset containing 3 months worth of transactions for 100 hypothetical customers with the help of Exploratory data analysis. Summarized the data to increase the profitability of the Bank.
  • โ–บ Built a simple regression model to predict the annual salary for each customer.

Tata consultancy services

Data Engineer

Sep 2018 โ€“ Sep 2021 ยท 3 yrs ยท Pune, Maharashtra, India ยท Hybrid

  • Group/Unit: System Engineer | Analytics & Insights (Data Engineering)
  • Domain: BFSI | Investment Banking & Reinsurance | Clients: Morgan Stanley, Nassau Re (Phoenix Life)

Education

Rajiv Gandhi Prodyogiki Vishwavidyalaya

Bachelor of Engineering (BE)

Jan 2014 โ€“ Jan 2018

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