HOME | Satyamsahu

Hello, I'm Satyam

and this is my website.

"Based in Central India. Open to Work Worldwide."

ABOUT ME

Hello! I'm Satyam Sahu

As an aspiring data engineer, I am passionate about transforming raw data into valuable insights that drive business decisions. With a strong foundation in Computer Science and hands-on experience in academic projects, I am eager to apply my skills in data pipeline development, database management, and big data technologies to real-world challenges.

My technical expertise spans Python programming, SQL for data analysis, Cloud Computing and Big Data tools and frameworks. I am constantly expanding my knowledge to stay at the forefront of this dynamic field. I thrive in collaborative environments and am excited to contribute my analytical mindset and problem-solving abilities to innovative data engineering projects.

I am now seeking opportunities to launch my career and make a meaningful impact as a data engineer. Let's connect and explore how my skills and enthusiasm can benefit your organization.

EDUCATION

2015-2019

Rajiv Gandhi Proudyogiki Vishvavidyalaya

Bachelor of Engineering in Compter Science Engineering

I pursued a comprehensive program in Computer Science engineering, covering database management, data modelling, and programming for data science.

2012-2014

High School

Kendriya Vidyalaya Guna (M.P.)

I pursued my senior secondary schooling at KV Guna with the major in computer science

PROJECTS

Goodreads ETL Data Pipeline

An End-to-End Goodreads ETL Pipeline: Leveraging Real-Time Data Collection, Transformation, and Integration with S3, Apache Spark, Airflow, and Redshift for Building a Robust Data Lake, Warehouse, and Analytics Platform.

Tune Lake Spark-S3 Music Streaming Data Lake ETL

Developed an ETL pipeline using Apache Spark to process music streaming data stored in S3. This project creates a scalable data lake, transforming raw logs into structured Parquet files, enabling deeper insights into user listening behavior.

Netflix Data Analysis Using SQL

This data analysis project explores Netflix viewership patterns and content popularity, it aims to inform strategic decisions and improve audience satisfaction through data-driven insights thus, elevating the streaming experience for millions

Uber Data Analysis Using PySpark

Using PySpark-SQL, this project analyzes Uber's dataset to uncover ride-sharing insights. It demonstrates big data processing skills, extracting key information on urban mobility patterns. The analysis answers critical questions about usage trends, showcasing data engineering proficiency in handling large-scale datasets.

PROJECT HIGHLIGHTS

CLIENTS

SKILLS

Python

SQL

Data Visualization Tools

Data Analysis

Big Data Technologies - Familiar

Version Control - Basic

Cloud Platforms - Basic

ML & DL - Basic

TECHNICAL EXPERTISE

EXPERTISE

Data Analysis

I specialize in data analysis techniques, including exploratory data analysis, statistical analysis, and data-driven decision-making.

Database Management

I have a strong understanding of database management systems, data warehousing, and data integration processes.

Data Engineering

My expertise includes designing and building scalable data pipelines, implementing data transformation processes, and ensuring data quality and integrity.