Atul Anjan profile photo 1 on Tal

Atul Anjan

Data Engineer | AWS | Databricks | Pyspark | SQL | Snowflake | Python | ETL

Bengaluru

4+ years of work experience

R Systems International Ltd.
Aug 20251 y 1 moPresent

India

Principal Global Services
Jul 20223 yrs 2 mosAug 2025

Pune, Maharashtra, India

In my current role as a Data Engineer at Principal Global Services, I lead the design and deployment of scalable data pipelines that integrate multiple data sources, ensuring high availability and quality for enterprise analytics. I manage a high-performance Data Mart using Snowflake and AWS, which has significantly optimized data retrieval and reporting capabilities. My focus on automation has led to the development of efficient data ingestion and transformation workflows using PySpark and AWS Step Functions, eliminating manual processes and enhancing throughput. Additionally, I have successfully migrated legacy ETL pipelines from SSIS to Informatica PowerCenter, achieving remarkable reductions in processing times. Achievements: I have delivered a 30% improvement in processing times through the implementation of a Snowflake-based Data Mart. My efforts in migrating ETL pipelines resulted in a 95% reduction in job run times, setting a new benchmark for optimization. I also engineered an automated multi-source data pipeline ecosystem, achieving a 40% uplift in processing speed and significantly enhancing data accuracy. My contributions have positioned me as a key player in driving data strategy and compliance across departments.
Cognizant
Jan 20226 mosJun 2022

Bengaluru, Karnataka, India

During my internship at Cognizant, I automated cloud infrastructure provisioning using ARM templates and Terraform across Azure and AWS, which enhanced consistency and governance. I set up secure environments on Azure, including Databricks and Key Vaults, reinforcing data privacy. My role involved directing the containerization of legacy banking applications to Kubernetes, optimizing deployment speed and cost efficiency. I also enabled collaborative ML development through JupyterHub deployments, streamlining workflows between DevOps and data science teams. Achievements: I was recognized for my academic and practical excellence, consistently achieving assessment scores above 85% during my training programs. My contributions to automating Kubernetes deployments through Azure DevOps pipelines significantly improved software lifecycle management.

Atul’s AI Stack

claude code
claude code
cursor
cursor
deepseek
deepseek
github copilot
github copilot
openai
openai
perplexity
perplexity

Education

Heritage Institute of Technology

Bachelor of Technology - BTech, Information Technology

Heritage Institute of Technology

20184 yrs2022

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Headline

Data Engineer | AWS | Databricks | Pyspark | SQL | Snowflake | Python | ETL

About

I am a curious and passionate person who likes to explore all corners of the world. I embrace challenges and believe every difficulty is an opportunity for growth. , I am also passionate about learning new things and constantly improving my skills and knowledge. I look forward to continuing to grow and enrich my life through continuous learning and exploration.

Location

Bengaluru

AI stack

claude code

cursor

deepseek

github copilot

openai

perplexity

Work experience

Data Engineer at R Systems International Ltd., Aug 2025 - Present · 1 y 1 mo, India

Data Engineer at Principal Global Services, Jul 2022 - Aug 2025 · 3 yrs 2 mos, Pune, Maharashtra, India, In my current role as a Data Engineer at Principal Global Services, I lead the design and deployment of scalable data pipelines that integrate multiple data sources, ensuring high availability and quality for enterprise analytics. I manage a high-performance Data Mart using Snowflake and AWS, which has significantly optimized data retrieval and reporting capabilities. My focus on automation has led to the development of efficient data ingestion and transformation workflows using PySpark and AWS Step Functions, eliminating manual processes and enhancing throughput. Additionally, I have successfully migrated legacy ETL pipelines from SSIS to Informatica PowerCenter, achieving remarkable reductions in processing times. Achievements: I have delivered a 30% improvement in processing times through the implementation of a Snowflake-based Data Mart. My efforts in migrating ETL pipelines resulted in a 95% reduction in job run times, setting a new benchmark for optimization. I also engineered an automated multi-source data pipeline ecosystem, achieving a 40% uplift in processing speed and significantly enhancing data accuracy. My contributions have positioned me as a key player in driving data strategy and compliance across departments.

Data Engineer at Cognizant, Jan 2022 - Jun 2022 · 6 mos, Bengaluru, Karnataka, India, During my internship at Cognizant, I automated cloud infrastructure provisioning using ARM templates and Terraform across Azure and AWS, which enhanced consistency and governance. I set up secure environments on Azure, including Databricks and Key Vaults, reinforcing data privacy. My role involved directing the containerization of legacy banking applications to Kubernetes, optimizing deployment speed and cost efficiency. I also enabled collaborative ML development through JupyterHub deployments, streamlining workflows between DevOps and data science teams. Achievements: I was recognized for my academic and practical excellence, consistently achieving assessment scores above 85% during my training programs. My contributions to automating Kubernetes deployments through Azure DevOps pipelines significantly improved software lifecycle management.

Education

Bachelor of Technology - BTech, Information Technology, Heritage Institute of Technology