Tech stack

AI & Agentic

• LangChain — agent orchestration, prompt chains, and retrieval-augmented generation.
• Model Context Protocol (MCP) — production agentic tool integration, self-healing infrastructure workflows.
• Databricks GenAI — LLM orchestration on enterprise data platforms.
• RAG pipelines — embeddings, vector search, and context-aware generation.
• Claude Code — AI-assisted development and code generation workflows.

Security

• IAM — policy design and hardening, fine-grained access controls.
• Data governance — AWS Lake Formation with column-level and row-level security, PII detection and masking.
• Network security — segmentation, PrivateLink, Private Endpoints, encryption at-rest and in-transit.
• Audit & compliance — GuardDuty, CloudTrail, Security Hub, security remediation.

Cloud & Infrastructure

• AWS — Lake Formation, S3, Glue, Athena, EMR, IAM, GuardDuty, CloudTrail, Security Hub. Petabyte-scale production workloads.
• Terraform — infrastructure as code for all AWS resources. HashiCorp certified.
• Docker — containerised everything. Compose for local dev, ECS/Kubernetes for production.

Data & Analytics

• Databricks — Unity Catalog, Delta Sharing, Delta Lake. Certified Data Engineer.
• Apache Spark / PySpark — large-scale data processing and analytics.
• Apache Kafka — streaming pipelines for real-time data ingestion.
• PostgreSQL — primary relational database for application state.
• TimescaleDB — time-series data at scale.

Observability

• Grafana — dashboards for platform health, pipeline SLAs, and cost monitoring.
• Prometheus — metrics collection and alerting.
• Gatus — status monitoring.

Languages

• Python — primary language for platform services, agents, and data pipelines. Strict mypy, Pydantic everywhere.
• SQL — PostgreSQL, Spark SQL, Athena, analytical queries across platform data.

Developer Tools

• Git — trunk-based development, conventional commits, pre-commit hooks.
• Ruff — Python linting and formatting.
• VS Code — primary editor