Kuldeep Pal โ Software Engineer
๐๐ฒ๐น๐น๐ผ, ๐'๐บ ๐๐๐น๐ฑ๐ฒ๐ฒ๐ฝ ๐ฃ๐ฎ๐น. I have 7 years of experience across ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด, ๐๐ฎ๐ฐ๐ธ๐ฒ๐ป๐ฑ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด, ๐๐ฒ๐ป๐๐, ๐ฎ๐ป๐ฑ ๐๐น๐ผ๐๐ฑ ๐๐๐๐๐ฒ๐บ๐, 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 scaleโboth batch and streamingโand backends that are distributed, reliable, and optimized. ๐๐ผ๐ฟ๐ฒ ๐๐ผ๐บ๐ฝ๐ฒ๐๐ฒ๐ป๐ฐ๐ถ๐ฒ๐ (T - Shaped) ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด 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. ๐๐ฎ๐ฐ๐ธ๐ฒ๐ป๐ฑ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด โ High-performance microservices, distributed processing workflows, REST API architectures, and systems built for reliability, observability. ๐๐/๐ ๐ & ๐ฃ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด โ Production-ready AI agents, RAG systems, workflow automation, and integration of AI into data and backend ecosystems. ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ ๐ฝ๐ฒ๐ฟ๐๐ถ๐๐ฒ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ๐: Python, SQL, Scala, Java ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด: Spark, PySpark, Kafka, Airflow, Databricks, Hadoop ๐๐ฎ๐ฐ๐ธ๐ฒ๐ป๐ฑ: Spring Boot, FastAPI, REST APIs, Microservices ๐๐/๐ ๐: AI Agents, RAG, LangChain, MCP Servers, MLflow ๐ฆ๐๐ฟ๐ฒ๐ฎ๐บ๐ถ๐ป๐ด: Kafka, Spark Structured Streaming ๐๐น๐ผ๐๐ฑ: AWS (S3, EMR, Redshift, Glue, Lambda), GCP (BigQuery, Dataproc, GCS) ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ๐: BigQuery, Redshift, Elasticsearch, PostgreSQL, MySQL, MongoDB ๐๐ฒ๐๐ข๐ฝ๐: Docker, Kubernetes, Jenkins, Terraform, CI/CD ๐๐ผ๐ป๐ป๐ฒ๐ฐ๐ ๐ฃ๐ผ๐ฟ๐๐ณ๐ผ๐น๐ถ๐ผ: https://kuldeep-pal.site/ ๐๐น๐ผ๐ด๐: https://sites.google.com/view/kuldeepallblogs/home ๐๐ฎ๐น๐น: https://cal.com/kuldeep.pal/meet-kuldeep Letโs build scalable and impactful systems together.
Stackforce AI infers this person is a Data Engineering and AI specialist in FinTech and Retail sectors.
Location: Bengaluru, Karnataka, India
Experience: 7 yrs 9 mos
Skills
- Data Engineering
- Backend Engineering
- Data Science
Career 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.
Work Experience
Walmart Global Tech
Senior Software Engineer - Data (8 mos)
Data Engineer (3 yrs 4 mos)
ZS
Data Engineer (10 mos)
ANZ
Data Science Engineer (Intern) (0 mo)
Tata Consultancy Services
Data Engineer (3 yrs)
Education
Bachelor of Engineering (BE) at Rajiv Gandhi Prodyogiki Vishwavidyalaya