Open to opportunities

Sukshith H

@sukshithh

Message

Results-driven Data Engineer with expertise in ETL and analytics.

India

Message

What I'm looking for

I seek a dynamic role where I can leverage my data engineering skills to drive impactful analytics and contribute to innovative projects in a collaborative environment.

I am a results-driven Data Engineer with over 2.5 years of experience in designing, building, and optimizing ETL pipelines, data modeling, and data wrangling for scalable solutions. My proficiency in Python, PySpark, Scala, and Hadoop, combined with my expertise in modern data warehousing practices, allows me to deliver significant value from large-scale datasets. I have a proven track record of integrating cross-functional requirements to meet end-user needs, ensuring that data solutions are both effective and efficient.

During my tenure at Bosch Global Software Technologies, I successfully designed and implemented efficient ETL pipelines, reducing data processing time by 30%. I led the migration from legacy data systems to a Hadoop-based architecture, achieving 99% uptime during the transition. My hands-on experience with tools like Hive, Sqoop, Kafka, and AWS cloud services has equipped me with the skills to conduct advanced statistical analysis and develop insightful dashboards that drive business decisions. I am passionate about leveraging data to uncover insights and improve operational efficiency.

Experience

Work history, roles, and key accomplishments

Data Engineer

Bosch Global Software Technologies

Oct 2021 - May 2023 (1 year 7 months)

Designed and implemented efficient ETL pipelines, reducing data processing time by 30%. Deployed PySpark jobs for large-scale batch and streaming data processes on Hadoop clusters, enabling real-time analytics. Developed data models and integrated Neo4J for real-time insights, improving query performance by 40%. Created automated data pipelines using SQL and DAX, enhancing data processing speed by

ETL Pyspark Hadoop SQL Neo4j Power BI Data Modeling Data Warehousing Python

Machine Learning Intern

e-Brain Softech Private Limited

Aug 2020 - Aug 2020 (0 months)

Developed and deployed a 'Brain Tumor Classification' project using Convolutional Neural Networks (CNN), achieving a model accuracy of 85%. Conducted preprocessing tasks including data augmentation and normalization to improve model performance. Presented technical findings to stakeholders, earning recognition for innovative problem-solving.

Machine Learning CNN Python K Nearest Neighbors K Means Presentation Skills Problem Solving

Education

Degrees, certifications, and relevant coursework

SDM Institute of Technology

Bachelor of Engineering, Computer Science and Engineering

2017 - 2021

Grade: 7.56

Bachelor of Engineering in Computer Science and Engineering, focusing on software development, data structures, algorithms, and system design. Developed a strong foundation in programming and engineering principles.