Areeb W.

I build production-scale data platforms, machine learning systems, and distributed cloud infrastructure — taking ideas from architecture to live, revenue-generating products. With 8+ years across data engineering, ML platform development, and GitOps-driven platform engineering, I've delivered end-to-end solutions for startups, scale-ups, and enterprise clients. Recent Outcomes Architected multi-AZ Kafka + Spark + AWS Glue + Apache Iceberg data platform serving 10+ operational domains Reduced AWS infrastructure costs by 50% through adaptive query batching, S3 lifecycle tiering, and VPC endpoint routing Cut daily ad spend by 78% via automated Facebook and Google Ads API orchestration driven by real-time session data Built SageMaker Pipelines with dataset versioning, experiment tracking, model lineage, and automated retraining Replaced legacy EC2/SQS batch systems with event-driven streaming, reducing processing latency by 70% Delivered iOS apps (Swift) with serverless backends on Lambda, Aurora, DynamoDB, and Shopify-integrated checkout Built platform-wide observability using Prometheus, Grafana, Loki, and Tempo with SLO/SLI frameworks across pipelines, ML workflows, and APIs Machine Learning & AI SageMaker, SageMaker Pipelines, SageMaker Feature Store, feature engineering, dataset versioning, experiment tracking, model lineage, real-time inference, batch transform, continuous evaluation, automated retraining, supervised learning, time-series forecasting, ranking and recommendation systems, anomaly detection, TensorFlow, PyTorch, Scikit-learn, deep learning, reinforcement learning, NLP, computer vision. Big Data & Streaming Apache Kafka (MSK), Apache Spark, Apache Flink, Apache Iceberg, AWS Glue, Apache Hadoop, data lakehouse, schema evolution, time-travel queries, Parquet, stateful stream processing, exactly-once semantics, watermarking, backfill pipelines, real-time data pipelines, data warehouse design. Cloud & Serverless AWS, Microsoft Azure, Lambda, S3, DynamoDB, Aurora/RDS, API Gateway, Cognito, EventBridge, SNS, SQS, event-driven architectures, serverless systems, multi-AZ deployments, cost-optimized cloud architectures, VPC design. DevOps, GitOps & Platform Engineering Kubernetes (EKS/ECS), Docker, ArgoCD, Flux, Helm, Kustomize, Terraform, CloudFormation, GitHub Actions, CodeBuild, CodePipeline, canary deployments, blue-green deployments, progressive delivery, self-healing infrastructure, internal developer platforms (IDP). Observability & SRE Prometheus, Grafana, Loki, Tempo, PromQL, ELK stack, CloudWatch, SLOs, SLIs, error budgets, distributed tracing, alerting pipelines, incident response. Application & API Development iOS (Swift/Objective-C), Android (Kotlin/Java), React, Angular, REST, GraphQL, Shopify Platform, React Native, full-stack cloud applications. Languages Python, Scala, Java, Swift, Kotlin, JavaScript, TypeScript, SQL, C++. Certifications AWS Certified Solutions Architect – Professional AWS Certified Machine Learning – Specialty Microsoft Certified: Azure Solutions Architect Expert Google Cloud Certified - Professional Cloud DevOps Engineer CKA: Certified Kubernetes Administrator CKS: Certified Kubernetes Security Specialist If you have a data platform to build, an ML system to productionise, or a cloud architecture that needs to scale — I can design and deliver it end to end.