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Tushar Bhalerao

Tushar Bhalerao

AWS Cloud Engineer

Talent
PuneMember since July 18, 2026
EC2Auto ScalingALBLambdaECSVPCTransit GatewayVPC PeeringVGWDirect ConnectCloudFrontOrganizationsControl TowerAFTSCPsIAMIAM Identity CenterCloudTrailConfigGuardDutyWiz CNAPPS3RDS (Multi-AZ)AuroraDynamoDBDMSSCTMySQLPostgreSQLCloudWatch
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EC2Auto ScalingALBLambdaECS

About

Four-time AWS Certified Cloud Engineer with 2+ years of experience supporting an e-commerce client at Wipro. Manages 40+ AWS accounts and resolves L2–L3 tickets for 900+ employees, with strengths in Terraform-based governance, Transit Gateway networking, Amazon EKS, and CI/CD automation. Delivered 99.95%-available architectures, ~20% lower cloud spend, and ~45% faster deployments. MS in Data Science; IEEE-published researcher.

Experience

AWS Cloud Engineer - Wipro - Pune, India (Hybrid)

(2025-06)

  • Handle L2–L3 AWS tickets for an e-commerce client supporting 900+ employees, resolving 200+ production incidents at a 98% SLA.
  • Troubleshoot EC2, ECS/EKS, and Lambda issues (Auto Scaling health, pod and node failures, container task errors, Lambda timeouts and throttling) using CloudWatch metrics and logs.
  • Resolve RDS/Aurora and DynamoDB incidents (connection saturation, slow queries, failovers, throttled capacity) and fix VPC, security group, routing, and IAM access issues, including cross-account roles.
  • Support S3, CloudFront, and SQS/SNS workloads: bucket policy and encryption fixes, CloudFront origin and cache issues, and queue backlog and dead-letter-queue alerts.
  • Cut recurring incidents by 40% and mean time to detect (MTTD) by ~35% using EventBridge and SNS alerting, 150+ CloudWatch alarms and dashboards, and Dynatrace.
  • Automated governance across 40+ AWS accounts with Organizations, Control Tower, and 25+ Service Control Policies (SCPs), enforcing region, encryption, and least-privilege guardrails.
  • Authored 15+ reusable Terraform modules and provisioned 30+ accounts through Account Factory for Terraform (AFT) with CloudTrail, Config, GuardDuty, and IAM Identity Center baselines, cutting setup from 2 days to under 3 hours.
  • Developed 50+ CI/CD pipelines in Azure DevOps, Jenkins, and GitHub Actions that deploy Terraform and CloudFormation via IAM roles and OIDC, cutting deployment time by ~45%.
  • Led migration of 100+ VPC peering and VGW connections to Transit Gateway (hub-and-spoke), cutting complexity ~60% with zero downtime.
  • Relocated 4 Direct Connect links to a closer region in three phases, lowering latency by ~30% and data-transfer costs by ~20%.
  • Designed two- and three-tier architectures across three Availability Zones (EC2, ALB, RDS Multi-AZ, EKS) for 99.95% availability.
  • Migrated 12 MySQL databases (~2 TB) to Amazon RDS using DMS and SCT, keeping downtime under 30 minutes per database.
  • Optimized monthly cloud spend by ~20% with Cost Explorer, Compute Optimizer, Savings Plans, and gp2-to-gp3 EBS conversion.
  • Deploy and troubleshoot workloads on Amazon EKS with kubectl and Helm (HPA, Cluster Autoscaler, RBAC, IRSA, NetworkPolicies) and triage Wiz CNAPP findings across AWS accounts and Kubernetes clusters with DevOps teams.

Software Engineer (Intern) - NatWest Group - Bangalore, Karnataka (Hybrid)

(2023-03 - 2023-09)

  • Engineered Python automation and ETL pipelines on BigQuery and GCP, boosting AML data-processing efficiency by 30%.
  • Modeled transactions with SQL, PostgreSQL, and predictive analytics, increasing suspicious-activity detection by 25%.
  • Quantified risk via hypothesis testing (+20% reporting accuracy) and produced Power BI dashboards (+30% decision-making).

Software Developer (Intern) - WIZnet - Pune, Maharashtra (Remote)

(2023-01 - 2023-04)

  • Created a Raspberry Pi gateway to aggregate and forward IoT telemetry to AWS, reducing monthly AWS spend by 30%.
  • Programmed Arduino/C++ firmware and deployed TensorFlow Lite models on edge hardware, targeting a 5% improvement.

Research Trainee - CHRIST (Deemed to be University) - Lavasa, Pune (On-site)

(2022-08 - 2022-12)

  • Trained Python and TensorFlow models to forecast match outcomes and presented the findings at IEEE ICAC3N-22.

Technical Specialist - Amazon - Hybrid

(2020-09 - 2021-08)

  • Addressed complex customer queries through cross-functional collaboration and authored management reports that guided improvements.

Education

Master of Science (MS) - Data Science - Christ University (2021-08 - 2023-06)

BBA (CA) - Computer Applications - Maharashtra Institute of Technology (2015-06 - 2019-05)

Skills

AWS Cloud Engineer

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