Syed W.

# DevOps, SRE, and Cloud Expertise I have 13+ years of total IT industry experience in building products as well as providing production-grade services to multinational companies in different domains, i.e., cloud computing, data engineering, ML/AI modelling, mobile app development, and most importantly doing all of that with DevOps and SRE oriented mindset, while implementing CI/CD integrations. I have 5+ years of experience in the following roles: - DevOps/SRE - (infrastructure provisioning (IaC), containerization, CI/CD pipelines, reliability, scalability, observability, security, cost optimization) - Cloud Engineering - (cloud-native SaaS apps, app modernization, data lakes, multi-tier environments on AWS) I have proven my skills in a vast variety of areas where I: - Managed all AWS accounts using AWS Control Tower under an AWS Organization - Performed Database Management – version updates, security, scaling, logical replication, and monitoring using Datadog - Saved over $200,000/annum in Cloud Costs by capacity reservation, optimization, and auto-handling of unused resources - Set up IPSec Site-to-Site VPN Tunnel and VPN Clients to allow connection to critical resources over a private network only - Reported HIPAA Compliance Status using AWS Config and Security Status using Security Hub & other integrated services - Standardized the Networking Scheme for all the accounts under AWS Organization - Implemented SSO for AWS Organization, GitHub, Sentry using Google Workspace as Identity Provider - Provisioned Multi-region, Multi-account Infrastructure for internal and commercial products using Stacks and StackSets - Responded to emergency events and developer requests as a first responder - Added monitoring capabilities using Datadog by creating dashboards, monitors, SLOs, alarms, integrations, etc. - Containerized services and automating deployments on Lambdas, ECS, Databricks, etc., using GitHub Actions CD pipelines - Standardized company-wide code styling using pre-commit hooks and automated CI implemented as GitHub Actions - Migrated complete infrastructure from Troposphere and Terraform to CDK for all environments, including production - Set up processes for effective async communication, coding standards, and performing regular code reviews # Data Engineering Expertise I have 13+ years of total IT industry experience in building products as well as providing production-grade services to multinational companies in different domains, i.e., data engineering, cloud computing, ML/AI modelling, mobile app development, and most importantly doing all of that with DevOps and SRE oriented mindset, while implementing CI/CD integrations. I have 4+ years of experience in delivering Data Engineering solutions, where I excel in: - ingesting data to build data lakes, data warehouses, and data marts - building ETL/ELT pipelines to standardize data structure - creating data visualizations to help businesses gain valuable insight to drive business decisions - building machine learning models based on the data that is ingested, cleaned, and imputed as per the business use case - providing data science solutions (analytics and visualizations using QuickSight, Tableau etc) and machine learning models (regression, clustering, neural network etc. using Amazon Sagemaker) for numerous big companies, including but not limited to Fortune 500 companies. I worked in various business domains where I dealt with investment, financial, and clickstream data. I also took MIT's online course called "The Analytics Edge" (certificate attached in profile)