Anurag Singh

Data Engineer

Noida, Uttar Pradesh, India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable data solutions using Snowflake and AWS.
Automated ETL processes reducing manual overhead by over 40%.
Strong background in cross-functional collaboration for data-driven insights.

Stackforce AI infers this person is a Data Engineering professional skilled in cloud data solutions and ETL processes.

Contact

Skills

Core Skills

Data EngineeringEtl/elt Pipeline DesignData ProcessingEtl ProcessesRoboticsTeaching

Other Skills

AWSSnowflakeSQLPythonSnapLogicPysparkGCP BigQueryAWS AthenaGitHubGitLabJIRAAzure DevOpsAmazon S3SQL Server Reporting Services (SSRS)C++

About

Passionate data engineer with expertise in building scalable data solutions using Snowflake, AWS Athena, and Azure DevOps. I specialize in designing and optimizing ETL pipelines that transform complex data challenges into streamlined, efficient workflows. Key Expertise: - Cloud Data Platforms: Snowflake, AWS Athena, Amazon S3 - Data Engineering: ETL/ELT pipeline design, data warehousing, performance optimization - DevOps & CI/CD: Azure DevOps, GitHub, GitLab - Technical Foundation: Electronics & Communication Engineering background What I Deliver: ✅ Robust data architectures that scale with business needs ✅ Automated ETL processes that reduce manual overhead by 40%+ ✅ Cross-functional collaboration that bridges technical and business requirements ✅ Data-driven insights that empower strategic decision-making Currently advancing enterprise data capabilities through innovative pipeline designs and cloud-native solutions. Always excited to connect with fellow data professionals and explore opportunities where cutting-edge data engineering can drive meaningful business impact. Let's connect and discuss how we can leverage data to solve your next big challenge!

Experience

3 yrs 9 mos

Total Experience

1 yr 6 mos

Average Tenure

8 mos

Current Experience

Fidelity international

Data Engineer

Sep 2025 – Present · 8 mos · Gurugram · Hybrid

Fidelity International (via ITC Infotech)
Architect and maintain end-to-end data pipelines on AWS and Snowflake, handling ingestion, transformation, and storage of large-scale analytical datasets with high reliability and performance.
Build and optimize ELT workflows using SnapLogic, SQL, and Python, focusing on schema evolution handling, query optimization, and cost-efficient data processing.
Design and enforce data quality and validation frameworks, including control checks, reconciliation logic, and automated failure detection to ensure correctness of downstream analytics.
Implement data security and governance using role-based access control, secure data sharing, and Unix-based operational automation, ensuring compliance and controlled access across environments.

AWSSnowflakeSQLPythonSnapLogicData Engineering+1

Telus digital

Data Engineer

Dec 2024 – Aug 2025 · 8 mos · Noida, Uttar Pradesh, India · Remote

Built and managed data pipelines using Python, Pyspark, and SQL to develop data products.
Utilized GCP BigQuery for efficient data processing and analysis.
Collaborated with cross-functional teams to optimize data pipelines for improved performance.

PythonPysparkSQLGCP BigQueryData EngineeringData Processing

Cognizant

2 roles

Data Engineer

Jul 2022 – Dec 2024 · 2 yrs 5 mos

Contributing member of a dynamic team, actively involved in advancing data solutions on Snowflake ❄️. Proficient in developing procedures, views, tables, ETL processes, and CTEs to strengthen our data capabilities. Hands-on experience includes GitHub migration, AWS Athena, GitLab, JIRA, Azure DevOps, and Amazon S3, contributing to seamless data operations. Committed to optimizing data workflows and continuously exploring innovative approaches.

PythonAWS AthenaGitHubGitLabJIRAAzure DevOps+3

Data Engineering Internship

Jan 2022 – Jul 2022 · 6 mos

During my internship as a Data Engineering Intern at Cognizant, I focused on mastering the ETL (Extract, Transform, Load) process and developed several projects using SQL Server Integration Services (SSIS). I created data pipelines to efficiently extract, transform, and load data, and I also explored the ELT (Extract, Load, Transform) process. In addition to MSBI, I gained proficiency in SQL and Python, enhancing my ability to manage and analyze data. I also learned to use DAX (Data Analysis Expressions) for data manipulation and calculations in Power BI. My experience with data visualization tools such as Power BI and Tableau enabled me to transform complex data into actionable insights. This comprehensive experience has significantly boosted my technical skills and solidified my passion for data analytics and business intelligence.

PythonSQL Server Reporting Services (SSRS)Data EngineeringETL Processes

Mind mapperz

STEAM trainer

Jun 2021 – Sep 2021 · 3 mos

As a STEAM Trainer at Mind Mapperz, I trained children in robotics using Arduino and Arduino software. This role required a strong understanding of C++ and C, as well as proficiency in working with various sensors. I also taught Python programming, along with the basics of programming and coding. I designed and conducted engaging lessons that taught kids how to build and program robots, fostering their interest in technology and engineering. Through this experience, I developed my teaching and communication skills, and gained the satisfaction of inspiring young minds to explore and innovate in the field of robotics and programming.

PythonC++CArduinoRoboticsTeaching