Skills
Languages: Python, Go, SQL, T-SQL, Java, C, C++, C#, Ruby on Rails, Go, Rust, CUDA, Kotlin
Data Engineering: ETL, ELT, Data Pipelines, Batch Processing, Streaming, Data Validation, Data Quality, Data Governance, Data Modeling
Platforms and Processing: Apache Spark, Ray, Kafka, Airflow, Trino, Iceberg, DMS, Feature Platform, Daft, Parquet, Amazon S3, TensorFlow Datasets
Machine Learning and AI: PyTorch, TensorFlow Lite, OpenCV, Amazon SageMaker, Amazon Bedrock, OCR, Fraud Detection, Isolation Forest, A/B Testing, Experimentation, LLM Fine-Tuning
Cloud and DevOps: AWS, Azure, EC2, EKS, ECS, RDS, VPC, IAM, KMS, Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI, Jenkins, Argo CD, Ansible, Helm, GitOps, Istio, Linkerd, NGINX, HAProxy, CloudFormation, Packer, Nexus, Artifactory, HashiCorp Vault, OPA (Open Policy Agent), Argo Workflows, Kustomize, FluxCD, Chaos Engineering, FinOps
Observability and Security: Prometheus, Grafana, Datadog, OpenTelemetry, Splunk, AWS Secrets Manager, Azure Key Vault
About
Software Engineer with experience building scalable multi-tenant data platforms, distributed ETL/ELT pipelines, ML infrastructure, and cloud-native systems. Skilled in Python, Go, SQL, Spark, Ray, Kafka, Airflow, Iceberg, Kubernetes, Terraform, AWS, CI/CD, observability, security, and data governance. Delivered petabyte-scale data processing, cross-tenant data sharing, compliance reporting, fraud analytics, model deployment, and AI platform operations in regulated and enterprise environments.
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