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Data Engineer with 4+ years in Cloud Data Replication & Integration
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Assessing your cultural and operational fit
Experienced Qlik Replicate and AWS Data Replication Engineer with 4+ years of expertise in designing and managing high-performance CDC and full-load pipelines to AWS targets, including S3, Kinesis, Aurora, and Redshift. Proven experience in delivering end-to-end migration from DB2 to AWS, enabling scalable, secure, and cost-efficient data solutions. Proficient in Qlik Replicate, AWS, and GitHub, with strong expertise in monitoring, troubleshooting, root cause analysis, security, and compliance. Skilled in building scalable, secure, and high-performance data migration architectures.
DAVV School of Computer Science, Indore
MS / M.Sc · Computer Science
N/A – June 30, 2020
Devi Ahilya Vishwa Vidhyalaya (DAVV), Indore
B.Sc · Bachelor of Science
N/A – June 30, 2018
Tata Consultancy Services
Cloud Data Engineer
October 1, 2021 – Present
Indore, Madhya Pradesh, India
Cloud Infrastructure App Attunity Support (Vanguard)
March 1, 2024 – June 1, 2026
Rehydrated 30+ production and non-production EC2 instances using GitHub automation. Supported DB2-to-Redshift data replication leveraging Qlik Replicate and AWS DMS via S3, ensuring efficient and reliable data integration. Improved replication throughput and system performance by scaling EC2 instances and enabling parallel processing. Managed IAM policies, including adding and removing multiple S3 buckets and related permissions. Implemented AWS Secrets Manager to securely retrieve source endpoint passwords. Provided end-to-end support for AWS Kinesis and AWS Aurora target endpoints. Designed and deployed Grafana dashboards for real-time AWS DMS task monitoring. Utilized AWS CloudWatch for proactive monitoring, alerting, and performance observation of instances.
RAQS (Vanguard)
October 1, 2021 – March 1, 2024
Provided technical oversight for 90+ replication pipelines in production and 200+ replication pipelines in Non prod. Built Blue/Green CDC pipelines for zero-downtime cloud data replication. Migrated applications data to cloud using Full Load + CDC for real-time data sync. Improved performance via scattered scheduling (reduced CPU/instance memory). Implemented cross-region disaster recovery for high availability. Used SQL for table selection, filtering, data transformation, and data validation at target endpoints. Developed Python scripts to automate extraction of production task backups across multiple Qlik Replicate instances. Managed and customized Qlik Replicate tasks using JSON, enabling efficient task creation, task promotions and configuration updates. Enabled scalability with multi-log stream architecture (parallel processing, priority handling). Supported multiple teams to monitor, manage and troubleshoot their data replication tasks.
Cultural Fit Analysis
The candidate's experience across multiple projects within Tata Consultancy Services, particularly with Vanguard, indicates adaptability and the ability to work within large enterprise environments. Their involvement in end-to-end delivery, troubleshooting, and stakeholder communication suggests a collaborative and problem-solving mindset. The breadth of technologies and responsibilities, from technical oversight to performance improvement and disaster recovery, shows a versatile and growth-oriented individual. The focus on security and compliance aligns with best practices in data engineering, indicating a responsible and diligent approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their extensive experience in managing and troubleshooting complex data replication pipelines in production environments. Their ability to work with multiple stakeholders (DBAs, cloud engineers, business) indicates good communication and collaboration skills. The focus on documentation and compliance suggests an organized and responsible approach to work. The candidate's experience with monitoring tools like Splunk, Grafana, and CloudWatch highlights a proactive stance on system health and performance.