Sankalp Bind

Dedicated Data Engineer

Prayagraj, IN.

About

Highly dedicated Data Engineer with 0.5 years of experience, specializing in end-to-end ETL pipeline development and deployment, leveraging AWS services including S3, RDS, Glue, and Athena. Proven ability to design and implement scalable data solutions, contributing to data-driven decision-making and operational efficiency. Eager to apply expertise in Data Engineering and Cloud to build robust, high-performance data infrastructures.

Work

USM's Shriram Mantri Vidyanidhi Info Tech Academy (VITA)

|

Big Data Trainee

Prayagraj, Uttar Pradesh, India

→

Summary

Led a team of 8 in a big data project, developing a CI/CD pipeline and utilizing OLAP tools to deliver critical insights for law enforcement and community safety.

Highlights

Directed a team of 8 trainees to develop a comprehensive big data project, focusing on the analysis of UK crime data to derive actionable insights.

Engineered and deployed a CI/CD pipeline, automating data processing workflows to enhance efficiency and ensure consistent project delivery.

Leveraged OLAP tools, including Tableau, to conduct in-depth analysis of crime data, generating critical insights that informed law enforcement strategies and community safety initiatives.

Education

CDAC

Prayagraj, Uttar Pradesh, India
PG Diploma Big Data Analytics

Dr. Ram Manohar Lohia Awadh University (IET)

Prayagraj, Uttar Pradesh, India
→
B.tech Computer Science and Engineering

Certificates

Data Science

Internshala

Skills

Big Data Technologies

PySpark, Hadoop, MapReduce, Kafka, Hive, Sqoop, Data Warehousing, ETL.

Cloud & CI/CD

AWS S3, AWS RDS, AWS Glue, AWS Athena, AWS VPC, AWS SNS, AWS Lambda, AWS EC2, AWS EMR, CloudFormation, GitHub Actions, CI/CD Pipelines, Data Lake, Data Pipeline Development.

Programming Languages

Python, Pandas, NumPy, SciPy, Airflow, SQL.

Data Science & Machine Learning

Machine Learning (Classification, Regression, Clustering), Deep Learning (ANN, CNN, RNN), Statistics (Descriptive, Inferential, Probability, Hypothesis Testing), Computer Vision, Model Deployment.

Database Management & BI Tools

MySQL, MongoDB, Power BI, Tableau, OLAP, Data Visualization.

Soft Skills

Adaptability, Problem Solving, Communication, Detail-Oriented, Team Leadership.

Projects

UK Crime Analysis

→

Summary

Designed and implemented a comprehensive UK crime data analysis project utilizing a full AWS stack (S3, RDS, Glue, EMR, Athena) and Tableau for visualization.

Driver Drowsiness Detection

→

Summary

Developed a real-time machine learning solution for drowsy driver detection using Convolutional Neural Networks (CNN) to enhance road safety.

Facial Emotion Recognition

→

Summary

Created a deep learning project capable of understanding and interpreting human emotions from facial expressions using CNNs.