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Presentation

Hi, I’m Avinash, a Data Engineer specializing in building scalable and real-time data pipelines. I have hands-on experience working with tools like Python, SQL, PySpark, Kafka, Airflow, Snowflake, and dbt to design efficient ETL/ELT workflows.
I have worked on projects involving real-time data ingestion, cloud-based architectures (AWS), and automated data pipelines that transform raw data into analytics-ready datasets. I focus on delivering clean, reliable, and production-ready data solutions.

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Background

Data Analytics Trainee

Dynamite Technology Pvt Ltd · 29/01/2025 – 01/03/2026

Worked as a Data Analytics Trainee where I assisted in collecting, cleaning, and preprocessing raw
data using Python and SQL. I supported data validation and transformation activities to ensure data accuracy and
consistency, and helped in organizing structured datasets for further analysis. I collaborated with team members to
understand data requirements, gained hands-on exposure to basic ETL concepts, and participated in improving simple
data workflows. Additionally, I worked on handling data from multiple sources, performed basic troubleshooting, and
developed a foundational understanding of data pipelines and data engineering practices.

Bachelor of Engineering

University Of Mumbai · 2021 – 2025

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Data Engineering using AWS Data Analytics

21/08/2025

Completed a certification in Data Engineering using AWS Data Analytics, where I learned to build scalable data pipelines using AWS services, process real-time and batch data, and design efficient ETL workflows for analytics.

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Programming in Python

26/08/2023

Completed a Programming in Python certification by Meta, gaining strong fundamentals in Python, including data structures, problem-solving, and writing efficient code for real-world applications.

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