Platform E|
Name: Adarsh Singh
Profile: Data and Platform Engineer
Email: adarshs285@gmail.com
Phone: +353 892469941
Location: Dublin, Ireland
Technical Skills
Python & Data Engineering 95%Specialized Platform Engineer with 4+ years of experience building scalable data platforms and ML pipelines. Expert in AWS cloud architecture, DevOps automation, and leading technical teams to deliver enterprise-grade solutions. Currently at Modulr, architecting robust platform infrastructure that powers financial technology services.
Passionate about leveraging cutting-edge technologies to solve complex data challenges. Proven track record of optimizing data workflows, implementing CI/CD pipelines, and driving innovation in cloud-native environments.
Available for freelance projects, consulting, and full-time opportunities
Expert guidance on data engineering, cloud architecture, and DevOps best practices. Mentoring teams to deliver high-quality, scalable solutions.
Advanced analytics and machine learning solutions to unlock insights from your data. Predictive modeling, customer segmentation, and behavioral analysis.
End-to-end software development from architecture to deployment. Building robust, scalable applications with modern technologies and best practices.
Interactive dashboards and business intelligence solutions. Transform complex data into actionable insights with intuitive visualizations.
AWS cloud architecture design and implementation. Serverless solutions, microservices, and scalable infrastructure that grows with your business.
CI/CD pipeline implementation, infrastructure as code, and automation. Streamline your deployment process and improve software delivery velocity.
Real-world solutions demonstrating expertise in data engineering, ML, and cloud architecture
Built scalable ETL pipeline processing 1M+ events/day using AWS Lambda, Kinesis, and S3. Reduced data processing time by 60% and improved data quality with automated validation.
Developed predictive analytics platform achieving 92% accuracy. Deployed ML models using SageMaker with automated retraining pipeline. Reduced operational costs by 35%.
Architected complete CI/CD pipeline using Jenkins, Docker, and Kubernetes. Automated deployment process reducing release time from hours to minutes. Achieved 99.9% uptime.
Led migration of on-premise infrastructure to AWS, implementing serverless architecture. Optimized cloud costs by 45% through resource right-sizing and auto-scaling strategies.
10
WORKS COMPLETED4
YEARS OF EXPERIENCE2
TOTAL CLIENTS1
AWARD WON