Data Engineer AWS Cloud Data Platforms & ETL

Shaik Muzamil Ahmed

Data Engineer Data Platforms ETL Cloud Data Solutions

Email: ****************@*****.*** Phone: +1-201-***-****

LinkedIn: https://www.linkedin.com/in/muzamilahmed7569

PROFESSIONAL SUMMARY

Data Engineer with 4+ years of experience building scalable data pipelines, cloud-based data platforms, and automated data workflows in AWS environments. Strong background in ETL/ELT development, data transformation, and distributed systems using Python, SQL, and cloud-native tools. Experienced in designing reliable data ingestion pipelines, optimizing data processing, and enabling analytics through structured and unstructured data systems. Adept at collaborating with cross-functional teams to deliver high-quality, production-grade data solutions.

CORE TECHNICAL SKILLS

Data Engineering: ETL/ELT Pipelines, Data Modeling, Data Warehousing, Data Lakes

Programming: Python, SQL, Bash

Cloud Platforms: AWS (S3, EC2, IAM, Lambda, Glue, CloudWatch, EKS)

Data Tools: AWS Glue, Airflow (conceptual), Kafka (basic), REST APIs

Databases: MySQL, PostgreSQL, MongoDB

Big Data & Processing: Spark (basic), Distributed Data Processing (conceptual)

CI/CD & Automation: Jenkins, GitHub Actions, GitLab CI

Infrastructure as Code: Terraform

Containers & Orchestration: Docker, Kubernetes

Monitoring: Prometheus, Grafana, CloudWatch

Version Control: Git, GitHub, GitLab

Operating Systems: Linux (Ubuntu, RHEL)

PROFESSIONAL EXPERIENCE

Big Basket (E-commerce Platform) Hyd, IND

Data Engineer Feb 2022 – Nov 2023

Designed and maintained data ingestion pipelines to process application and system data from multiple sources into AWS-based storage systems.

Built and automated ETL workflows using Python, SQL, and REST APIs to transform and load data into structured formats for analytics.

Managed large-scale datasets stored in Amazon S3, ensuring data availability, durability, and efficient access.

Supported data pipeline orchestration through CI/CD tools like Jenkins and GitHub Actions, improving deployment efficiency and reliability.

Developed reusable scripts for data extraction, transformation, and validation, reducing manual processing efforts.

Optimized database queries and improved performance of MySQL and PostgreSQL systems used in reporting workflows.

Containerized data processing services using Docker and deployed them on Kubernetes for scalable execution.

Implemented monitoring solutions using CloudWatch, Prometheus, and Grafana to track pipeline health, latency, and failures.

Collaborated with developers and analysts to ensure data quality, schema consistency, and pipeline reliability.

Automated data workflows and scheduling processes, reducing pipeline execution time and operational overhead.

Supported schema migrations and managed data lifecycle processes across staging and production environments.

Quadrant Technologies India Pvt. Ltd. India

Data Engineer Apr 2020 – Jan 2022

Assisted in building and maintaining data pipelines for internal applications using Python scripts and SQL queries.

Automated data extraction and transformation processes from APIs and databases into structured formats.

Managed and supported relational databases including MySQL, ensuring data integrity and performance.

Developed scripts to automate data validation, cleaning, and transformation workflows.

Worked with CI/CD pipelines to deploy and maintain data-related services and batch jobs.

Supported containerized applications for data processing using Docker.

Collaborated with teams to troubleshoot data inconsistencies, pipeline failures, and performance issues.

Assisted in provisioning infrastructure using Terraform for hosting data services and applications.

Monitored system and data pipeline performance using CloudWatch and Grafana dashboards.

EDUCATION

Master of Science – IT Management, St. Francis College, New York, USA

Bachelor of Technology – Computer Science, St. Mary’s Engineering College, India

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