Vamshidhar Singh
Data Engineer @ Crowdplum Global Services
About
Proficient in Python, SQL, Spark, AWS, AI/ML and Git, with hands-on experience in designing data pipelines (ETL), automating workflows, and analyzing large datasets to generate actionable insights. Passionate about leveraging data and AI to solve real-world problems. Currently deepening expertise in distributed systems, cloud computing, and big data technologies to deliver scalable solutions. Open to full-time roles as AI Engineer, Data Engineer, or Data Analyst starting Jan 2026 — authorized to work in the U.S on OPT and available for relocation.
United States
San Francisco Bay Area
Information Technology & Services
Deep Learning, AWS Glue, PySpark, Azure Data Factory, Data Architects, Artificial Intelligence (AI), Cloud Computing, Extract, Transform, Load (ETL), Data Engineering, Microsoft Power BI, Exploratory Data Analysis, C++, Object-Oriented Programming (OOP), Operating Systems, Computer Networking, Java, Amazon Web Services (AWS), Agile Methodologies, Software Development, Big Data
Experience
Data Engineer
Crowdplum Global Services
•Designed, built, and maintained scalable ETL data pipelines to ingest, transform, and load data from multiple sources including CRM systems, web analytics platforms, and internal databases. •Developed automated data workflows using Python, SQL, and Apache Airflow, improving data refresh speed, reliability, and operational efficiency. •Implemented data quality validation and cleansing processes to ensure high accuracy and consistency for analytics and business reporting.
Data Engineer
New Era Technology NZ
Hyderabad, Telangana, India
• Designed and deployed real-time data pipelines using Kafka, AWS Glue, PySpark, and Apache Spark on AWS EMR, orchestrated with Apache Airflow and monitored via CloudWatch. Helped reduce empty miles by 18%. • Integrated historical data from S3 and Redshift to develop MLlib-based predictive models for ETA estimation, dynamic pricing, and delay prediction, surfacing insights through Power BI dashboards. • Delivered near real-time visibility into 85% of the fleet, reducing delivery delays by 21% and generating $2M in annual savings through optimized logistics planning.
Data Engineer
Kontem Space
India
● Configured AWS CloudWatch monitoring and alerts for ETL job failures and pipeline performance tracking. ● Implemented data quality checks and validation rules to ensure accurate and consistent data for downstream analytics. ● Created automated workflows using AWS Lambda and Step Functions to process real-time streaming data.
Education
Auburn University at Montgomery
Management Information Systems, Data Analytics
Jawaharlal Nehru Technological University
Information Technology
Golden Gate University
Business Analytics
Vamshidhar Singh's Contact Information
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