Shubham Namdeo — Associate Consultant

A highly Skilled AWS Data Engineer at Motherson Technology Services Limited having 3+ years of experience in cloud-based technologies to develop, design, implement, scalable and optimized data pipelines. Experienced in utilizing AWS services to build end-to-end data solutions. Hands-on experience in programming languages such as Python, SQL, PySpark with understanding in data model, data architecture and data warehousing concepts. Adopt at collaborating with cross-functional teams to understand business requirements and provide scalable data solutions that data driven actionable insights. A good team player having ability to meet tight deadlines and can work under pressure. Looking for a long-term association with a growth-oriented organization with some added responsibilities. • Over all 3+ years of hands-on experience in Python, SQL, PySpark, ETL. • Hands-on experience on AWS Services like S3, Glue, Lambda, Athena, IAM, EC2, SNS, Cloud9, CloudWatch, EventBridge, Kinesis, IoT Core, SageMaker, Appflow, TimeStream. • Developed and maintained complex data pipelines to ingest, transform and load data (ETL). • Performed data cleaning transformations, such as removing duplicates, standardizing formats, handling missing values, adding columns and performing join operations etc. • Proficient in data processing using PySpark and Python handling structured, semi-structured and unstructured data. • Experienced in handling diverse file formats such as Text, CSV, JSON, Parquet ensuring flexibility in data processing. • Conducted data testing and data validation on transformed data using Athena (SQL Engine) on different layers ensuring the data accuracy and reliability using Glue Catalogue. • Strong problem-solving skills, with a focus on resolving data-related issues and ensure accuracy. • Collaborative team player with experience working with cross-functional teams, including data science and analyst, to drive data-driven insights. • Ability to prioritize tasks and manage time effectively in a fast-paced environment. Primary Skills: Python, SQL, PySpark, Java. AWS Services: S3, Glue, Lambda, Athena, IAM, SNS, EC2, CloudWatch, EventBridge, Kinesis, IoT Core, SageMaker, Appflow, Redshift, TimeStream, Cloud9, CloudTrail. Infrastructure Automation: CloudFormation, Terraform. Library: boto3, xlrd Dashboard: Grafana Tools : Notepad++, Atom, Sublime, NetBeans, Jupiter Notebook. Others: Data Lake, Data Modeling, Data Architecture, Data Analysis, Data Warehousing.

Stackforce AI infers this person is a Data Engineer specializing in AWS cloud technologies and data pipeline development.

Location: Gurugram, Haryana, India

Experience: 4 yrs 6 mos