Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

NAYEEM SHAIK

Columbus

Summary

Results-driven Data Engineer with 2 years of experience designing, building, and maintaining scalable data pipelines and ETL workflows. Proficient in SQL, Python, and cloud platforms like AWS. Passionate about optimizing data infrastructure to enable actionable insights and data-driven decision-making

Adaptable professional with background in developing and maintaining data systems within collaborative environment, seeking to transition into new field. Developed skills include data analysis and process optimization. Proven ability to drive impactful changes through data-driven insights.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Data Engineer

Tata consultancy services
06.2021 - 05.2023
  • Designed and deployed scalable ETL pipelines using Apache Airflow and AWS Glue to ingest data from 10+ sources.
  • Optimized data transformation scripts in Python and SQL, reducing data processing time by 30%.
  • Developed and maintained a data lake architecture on Amazon S3 with Redshift as the data warehouse.
  • Collaborated with data analysts to deliver clean, high-quality data for dashboarding and reporting in Tableau.
  • Implemented data quality checks and automated pipeline monitoring using CloudWatch and custom alerts.
  • Implemented ETL processes using Apache Spark for improved data processing efficiency.
  • Collaborated with cross-functional teams to ensure data accuracy and consistency across platforms.
  • Optimized SQL queries to enhance database performance and reduce query response times.
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.

Education

Master of Science - Business analytics

Franklin University
01.2025

Bachelor of Science - Computer Science

KL University
01.2021

Skills

  • Languages: Python, SQL
  • Big Data Tools: Apache Spark, Hadoop
  • Databases: SQL, MySQL, Snowflake
  • Cloud: AWS
  • Visualization: Tableau, Power BI (basic)
  • Other: Pandas, NumPy
  • ETL development
  • Relational databases

Certification

  • Devops Practioner Training at Simplilearn
  • Aws solution architect at simplilearn
  • Google Cloud Professional Data Engineer (Optional)

Timeline

Data Engineer

Tata consultancy services
06.2021 - 05.2023

Master of Science - Business analytics

Franklin University

Bachelor of Science - Computer Science

KL University