AWS Cloud Platform & DevOps Engineer

AMIT CHAURASIA

AWS Cloud Platform & DevOps Engineer

****************@*****.*** +91-635******* linkedin.com/in/amit-chaurasia-30-0611997 Rajajinagar, Bengaluru, Karnataka PROFESSIONAL SUMMARY

AWS Cloud Platform & DevOps Engineer with 4.5+ years of hands-on experience managing large-scale cloud and big data platforms across enterprise and GxP-regulated healthcare and pharmaceutical environments. Strong expertise in Amazon EMR, EKS, MWAA

(Apache Airflow), Redshift, and data governance platforms, alongside Terraform IaC, Cloudera Data Platform (CDP), and CI/CD automation. Led 25+ EMR cluster upgrades, administered 20+ MWAA environments running 2000+ DAGs per environment, and delivered 20-30% cloud cost optimization through automation and performance tuning. Proven track record in L2 Production Support, incident management, Root Cause Analysis (RCA), security and compliance, and mentoring engineering teams across business- critical workloads.

KEY ACHIEVEMENTS

• EMR & MWAA at Scale: Upgraded 25+ EMR clusters and 20+ MWAA environments (2000+ DAGs each), cutting costs by

~30% and ~25% respectively.

• EKS & Data Platform: Administered EKS (Kubernetes 1.30 1.33) and deployed Dremio & Privacera for secure, scalable data access.

• Terraform IaC: Built reusable AWS provisioning modules, cutting deployment effort by 40%.

• Multi-Account & Multi-Region: Owned platform delivery across 6+ AWS accounts and multiple regions via CloudFormation.

• GxP Compliance: Led deployment validations and readiness checks per 21 CFR / EU Annex 11.

• L2 Production Support: Owned P1/P2 incident queue across AWS and CDP, meeting SLA targets with proactive RCA.

• Team Mentoring: Mentored engineers on cloud operations, incident response, and DevOps best practices. AWARDS & RECOGNITION

• Promoted to Module Lead (2025) for consistent high performance and technical leadership.

• Visionet “Pat on the Back” Award – Q3 2023, for outstanding performance and project contributions.

• Visionet “Pat on the Back” Award – Q3 2024, for excellence in cloud platform operations and automation. TECHNICAL SKILLS

• Programming & Scripting: Python, SQL, Shell Scripting

• Cloud & DevOps: AWS (EC2, S3, EMR, EKS, Lambda, CloudFormation, IAM, CloudWatch), Jenkins CI/CD, Terraform IaC, Docker, Linux Administration, Basic Kubernetes, Cost Optimization

• Orchestration: Apache Airflow (MWAA)

• Data Platform: Cloudera Data Platform (CDP, NiFi), Connected Data Lake (Dremio, Privacera, Acryl)

• Databases: RDS, Redshift, PostgreSQL (SQL, Performance Tuning, ETL Pipelines)

• Monitoring & Operations: CloudWatch, CloudHealth, Incident Management, Root Cause Analysis (RCA), Infrastructure Support (L1/L2), Monitoring & Alerting, L2 Production Support

• Version Control & SDLC: Git/GitHub, Agile, SDLC, CI/CD Automation, Infrastructure Automation, DevOps, GxP Compliance

(21 CFR / EU Annex 11)

PROFESSIONAL EXPERIENCE

AWS Cloud Platform & DevOps Engineer Visionet Systems Private Limited 12/2022 – Present Bengaluru Project: Regeneron (Pharmaceutical Real-World Data) Role: Data Platform Engineer / L2 Production Support Team: 12 Technologies: AWS (EMR, MWAA, EFS, EKS, Lambda, EC2, CloudFormation) Cloudera Data Platform (CDP, NiFi) Connected Data Lake (Dremio, Privacera, Acryl) Terraform IaC Jenkins CI/CD Docker GitHub

• Multi-Account Platform Ownership: Owned and operated enterprise-scale AWS data platforms across 6+ AWS accounts, supporting multiple business units and regulated workloads.

• L2 Production Support & Incident Management: Owned L2 Production Support operations across AWS and CDP environments — triaged P1/P2 incidents, performed in-depth RCA, and closed service requests while consistently meeting SLA targets for business-critical pharmaceutical applications. Played a key role in P2 production incidents involving EMR and MWAA, contributing to rapid issue resolution and detailed RCA.

• EMR Management & Optimization: Led end-to-end upgrades of 25+ Amazon EMR clusters (v5.33 6.3.1 7.8.0); automated cluster lifecycle with AWS Lambda for scheduled creation/auto-termination and instance right-sizing, cutting infrastructure costs by ~30% while improving performance and reliability.

• MWAA Upgrades & Tuning: Led MWAA (Apache Airflow) upgrades from v2.0.2 2.6.3 across 20 MWAA environments with 2000+ DAGs per environment; tuned and optimized the MWAA environment, reducing client costs by approximately 25%.

• EKS Administration: Administered Amazon EKS clusters, upgrading Kubernetes versions from 1.30 1.33 while ensuring application compatibility and platform stability.

• Dremio & Privacera on EKS: Deployed and managed Dremio and Privacera on EKS, including Kubernetes RBAC configuration, secure application deployment, and production troubleshooting.

• Terraform IaC & DevOps: Designed and implemented Terraform IaC modules for multi-environment AWS provisioning, improving deployment consistency and eliminating manual infrastructure drift.

• Multi-Region Infrastructure: Deployed production-ready infrastructure across multiple AWS regions for different business units using CloudFormation, automating services including EMR, MWAA, Redshift, EC2, EKS, S3, SQS, and SNS.

• GxP Compliance: Led GxP-compliant release validations and deployment readiness reviews within regulated healthcare environments, and implemented and supported GxP-compliant cloud infrastructure spanning EC2, EMR, MWAA, Redshift, and S3, ensuring operational readiness and audit readiness per 21 CFR and EU Annex 11 standards.

• Identity & Access Management: Implemented granular IAM policies and onboarded applications/users using principle of least privilege, backed by log analytics.

• Monitoring & Alerting: Monitored AWS services using CloudWatch, built dashboards and configured alerts for proactive issue detection, ensuring high platform availability and SLA adherence.

• Team Mentoring: Mentored junior engineers on cloud platform operations, incident response, and DevOps best practices. Software Engineer Emids Technologies Private Limited 01/2022 – 09/2022 Bengaluru Project: CONCERT-AI (Precision Medicine Data Platform) Role: Data Engineer Team: 12 Technologies: AWS Glue Python Shell Scripting S3 Redshift Athena AWS Lambda CloudWatch HDFS Pandas PySpark

• Monitoring & Log Analysis: Monitored data pipeline health using CloudWatch — proactively resolved failures in Glue jobs, Lambda functions, and S3-based workflows (L1/L2 support).

• Data Quality & Validation: Designed data quality validation and outlier detection frameworks, improving dataset consistency for clinical reporting.

• Incident Triage & RCA: Investigated data pipeline incidents via CloudWatch logs, Glue execution logs, and S3 access logs — performed RCA to minimise disruption to downstream clinical reporting.

• Alerting & Operational Checks: Configured CloudWatch alarms and log-based alerts for data pipeline SLA adherence, enabling proactive detection of job failures and data delays.

• Linux & Scripting: Used Linux CLI and Shell scripting for pipeline operations, job scheduling, log monitoring, and HDFS environment configuration.

• Stakeholder Collaboration: Gathered requirements from business stakeholders and translated them into scalable data engineering solutions.

Python Developer Intern Paskon Inc Bengaluru

• Gained hands-on experience in Python development, SQL, and Linux, while assisting with debugging, testing, and application development.

EDUCATION

Bachelor of Technology (B.Tech) — Rajasthan Technical University, Kota, Rajasthan CERTIFICATIONS & UPSKILLING

AWS Certified Solutions Architect – Associate (Pursuing) CKA – Kubernetes (Planned) 10/2021 · 11/2021

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