Hi, I'm Akhilesh Jadhav

In this digital world, I transform chaos into clarity through the alchemy of modern data engineering, backed by Python prowess. Crafting data pipelines is my forte, ensuring your data not only flows but tells a story.

20+

Data Pipelines

100TB+

Data Processed

99.9%

Pipeline Reliability

About Me

Data Engineer | Cloud Solutions Architect | Big Data Evangelist

Profile Picture

I'm a passionate Data Engineer with deep expertise in AWS, Azure, and Big Data technologies like Hadoop. My career has been a dynamic adventure from constructing ETL/ELT pipelines to optimizing cloud storage and processing, always with the goal of transforming raw data into clear, actionable insights. Whether I'm deploying machine learning models or mentoring budding engineers, each day is about pushing boundaries and refining the art of data science.

In my toolkit, Python and SQL blend with visualization tools like Power BI and Tableau to not just manage data, but make it meaningful. Having worked at places like PTC and Sigma Infosolutions, I've cultivated a knack for not only solving complex data challenges but also teaching others to navigate this evolving landscape. It's about making data work smarter, and sharing that knowledge to empower teams and enhance our approach to data-driven decision making.

3+
Years Experience
15+
Projects Completed
20+
Technologies

Experience & Education

My professional journey and academic background

Experience

Graduate Research Assistant

Syracuse universitySyracuse, NY
June 2024 - Present
On-site

Developed a scalable Spotify popularity prediction model using Amazon SageMaker and AWS Elastic Beanstalk, enabling real-time predictions through a secure and monitored Flask-based web application.

Amazon Sagemaker
AWS Beanstalk
Flask
Python

Data Engineer

PTCBoston, MA
June 2023 - May 2024
Remote

Streamlined AWS Glue and PySpark ETL workflows to reduce execution times by 30% and costs by 15%, established real-time analytics with Amazon Kinesis, and enhanced security and compliance using AWS tools, significantly improving system efficiency and data insights.

AWS
PySpark
CI/CD
Kinesis

Junior Data Engineer

Sigma InfosolutionsBangalore, INDIA
Jun 2020 - Jul 2022
Remote

Optimized and automated data processes using Azure Data Factory, Hadoop HDInsight, and Python, significantly enhancing data integrity, efficiency, and accessibility. Implemented monitoring and advanced analytics with Azure Monitor and Power BI, resulting in reduced downtimes and faster data-driven decisions.

Python
Azure
Hadoop
Apache
Cassandra
Power BI

Featured Projects

A showcase of my recent work, featuring tech built with modern technologies.

Streaming Analytics Platform

Streaming Analytics Platform

BigQueryGoogle Cloud Platform (GCP)DataflowLooker StudioPython
IoT Sensor Data Pipeline

IoT Sensor Data Pipeline

AWS KinesisAWS LambdaS3QuickSightCLI
Sentiment Analytics Pipeline

Sentiment Analytics Pipeline

AzureDjangoPostgreSQLPython
Syracuse DBMS

Syracuse DBMS

SQLMySQL serverPython
Song Popularity Prediction

Song Popularity Prediction

Spotify APIPythonSKlearnPandas & NumPyMatplotlib
Airline Departure Timing Prediction

Airline Departure Timing Prediction

PandasScikit-learnSeabornCSV

My Expertise

Hover over the skills to explore my technical proficiencies

Python
Java
JavaScript
Scala
AWS
Azure
GCP
Docker
Kubernetes
TensorFlow
PyTorch
scikit-learn
Spark
Kafka
Hadoop
Flink
MySQL
PostgreSQL
MongoDB
Redis
Flask
Django
Express
C++
R
Shell
Jenkins
Git
Grafana
Ansible
Nginx
Spring
Airflow
NiFi
Cassandra
S3
SQL Server
Oracle
Snowflake
Power BI
Tableau
dbt

Certifications

Professional certifications and achievements that validate my expertise

Get in Touch

Feel free to reach out for collaborations or just a friendly hello

Drop me a line at

akhileshjadhav26@gmail.com

Mail Me →

Call me at

+1 680-910-9825

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