Chandeep Singh Email & Phone Number

Chicago, Illinois, United States

Dublin 2, IE

• Led the Data and Platform Transformation for an international fast-food corporation, managing data streams from 35,000 restaurants across 60 countries. This involved developing on AWS with multiple data strategies.
• Led the design, development, and delivery of cloud-based Machine Learning models for a leading Healthcare organization, utilizing Databricks on Azure. This encompassed the development of over 50 automated & scalable.
• Developed and deployed Unstructured Data Analytics for a worldwide Insurance provider, employing AWS serverless technologies like API Gateway, EKS, Apigee, Lambda, & ES. Built solutions for real-time gathering and.
• Migrated multiple production environments for a leading heavy machinery manufacturer from Cloudera Hadoop on-premises to AWS native. This entailed architecture design, networking, firewall configuration, benchmarking.

Dublin 2, IE

• Architected cloud-centric solutions emphasizing key technology aspects like cloud scalability, high availability, microservices architecture, cost optimization, and cloud-native auditability. Pioneered cloud reference.
• Strategically selected and implemented cloud-based tools and services for the Accenture Insights Platform (AIP), focusing on cloud-oriented software and development methodologies suitable for distributed data.
• Defined comprehensive cloud architectures to meet client requirements, setting up cloud infrastructures for various use cases. Formulated cloud-based solutions that offer optimal value, considering client-specific.
• Oversaw cloud operations, emphasizing data governance in cloud environments and validating data consistency across distributed systems. Ensured technical solutions delivered cloud-optimized performance, auto-scaling.

• Played a key role in the design and development of Kogentix's Automated Machine Learning Platform (AMP) and Infrastructure Management Solution (KiMS), catalyzing the automation of data analytics and enhancing.
• Oversaw AMP's deployment across cloud and on-premise Big Data platforms, such as Cloudera Hadoop and MapR, harnessing technologies like Spark and HBase, and directed operational management, data governance, and cost.
• Created predictive models to forecast patient admissions for Europe's largest medical system, using Spark and HBase to streamline insurance claims processes, and designed a sophisticated analytics framework for a.
• Built a comprehensive IoT-based alarm correlation and predictive maintenance platform for a major power generation firm, utilizing Kafka and Spark streaming, and provided technical leadership in developing large-scale.

Santa Clara, California, US

• Integral to the Big Data Solution Enablement team, creating and implementing end-to-end Hadoop-based analytics solutions, including Spark, MapReduce, and HBase, supplemented by custom web interfaces, automation via.
• Established and standardized reference architectures and frameworks, advocated for the optimal selection of tools and techniques, and contributed to rigorous code reviews to maintain adherence to design and.
• Successfully facilitated migrations between Intel and Cloudera Hadoop distributions, ensuring seamless transitions with zero data loss and minimal downtime, alongside the deployment and optimization of Hadoop clusters.
• Engaged in the deployment, management, and tuning of Hadoop clusters, executing performance optimization, load balancing, and cluster health monitoring while providing solutions for user-related issues.

Santa Clara, California, US

• Developed and implemented comprehensive Hadoop-based analytics solutions, employing technologies like MapReduce, Hive, Pig, and HBase, integrated with custom web interfaces and automated through Oozie and shell scripts.
• Delivered Hadoop system support, addressing a range of needs from Unix administration to the development of Python streaming jobs, and led the deployment of Hadoop clusters, optimizing for performance and reliability.
• Participated in global customer engagements including PoCs, workshops, and use-case development, and created a machine learning system with Cloudera Hadoop to analyze voter and donor patterns to enhance campaign.

• Worked with clients like Travelers Insurance and FLS Connect to build tailored Hadoop-based solutions, overseeing the full development cycle from requirements analysis and data processing to final implementation.
• Built a Cloudera Hadoop-powered machine learning system to analyze behavior patterns, enhancing voter and donor identification for campaign optimization, and architected a robust data architecture that facilitates both.

Ipswich, MA, US

• Developed EBSCO's admin web interface testing by automating test procedures, crafting and integrating new test cases into the current suite, and implementing routine smoke tests for system verification.
• Enhanced EBSCO's automated testing framework by engineering and deploying new C# automated test cases, ensuring seamless amalgamation with the pre-existing suite, and conducting regular maintenance through smoke.

Gurgaon, Haryana, IN

• Engineered Chain Reaction web services, facilitating key operations in Product Lifecycle Management, Manufacturing, and Retail/Web Sales, along with Point of Sale (POS) interactions.
• Implemented systems utilizing C#, ASP.NET, HTML, and SQL Server to create a robust, integrated end-to-end business management system.

Master Of Science (Ms), Computer Science

Bachelor Of Technology, Computer Science