Battle-tested accelerators, templates, and frameworks that cut weeks — sometimes months — off your delivery timeline. Every accelerator is production-ready, documented, and built from real engagement experience.
Production-ready templates and frameworks for Databricks Lakehouse implementations
Migrate from legacy Hadoop, Azure HDInsight, or on-prem Spark clusters to Databricks — with automated job conversion, Delta table migration scripts, and a validation harness.
End-to-end Unity Catalog implementation — metastore configuration, catalog/schema hierarchy design, attribute-based access controls, and data lineage activation.
Pre-built Auto Loader connectors for common data sources — Salesforce, SAP, ServiceNow, JDBC databases, REST APIs — with schema evolution handling and error recovery.
Databricks SQL dashboard templates for common use cases — data quality monitoring, pipeline health, cost tracking, and business KPI dashboards ready to customize.
Automated cluster right-sizing, Spot instance strategies, query optimization playbooks, and Photon enablement — typically reducing Databricks spend by 30–50%.
Full CI/CD pipeline for Databricks — notebook version control, automated unit & integration testing, multi-environment promotion, and deployment orchestration.
Frameworks for responsible, production-ready AI — from governance to model deployment
Turnkey AI governance implementation — model risk tiers, review checklists, bias auditing templates, explainability reports, and policy documentation aligned to EU AI Act and NIST AI RMF.
Structured AI strategy workshop facilitation kit — business objective mapping, use case prioritization matrix, build/buy/partner decision framework, and board-ready AI roadmap template.
End-to-end MLOps platform on Databricks — automated retraining pipelines, champion/challenger testing, drift detection alerts, model versioning, and one-click rollback.
Configurable LLM and ML model evaluation framework — accuracy metrics, latency benchmarks, cost-per-token analysis, and human evaluation workflow with scoring rubrics.
Production-ready RAG pipeline template — document ingestion, chunking strategies, vector store setup, retrieval optimization, and LLM response generation with hallucination guardrails.
Multi-agent system scaffold with tool registry, memory management, planning loops, human-in-the-loop escalation, and observability — ready to customize for your specific workflows.
Landing zones, data platforms, and AI workload accelerators for Amazon Web Services
Multi-account AWS environment setup with Control Tower, SSO, guardrails, VPC baseline, centralized logging, security hub, and compliance frameworks (CIS, SOC 2, HIPAA).
Hub-and-spoke VPC topology, Transit Gateway, PrivateLink endpoints, WAF, Shield, and network firewall configuration — following AWS Well-Architected security pillar best practices.
S3-based data lake with Lake Formation governance, Glue crawlers, Athena query layer, and data migration pipelines from on-prem, RDS, or legacy data warehouses to AWS.
Production Agentic AI system on AWS using Bedrock Agents, Knowledge Bases, Guardrails, and Lambda — with observability via CloudWatch and X-Ray tracing throughout.
Automated DR setup with RPO/RTO targets — Route 53 health checks, cross-region replication, RDS Multi-AZ, EKS cluster failover, and runbook automation with AWS Systems Manager.
Cost Explorer dashboards, tag enforcement, Savings Plans recommendations, Reserved Instance analysis, and automated cost anomaly detection with Slack/Teams alerting.
Landing zones, data platforms, and AI workload accelerators for Microsoft Azure
Enterprise-scale Azure Landing Zone with Management Groups, Policy-as-Code, Azure AD/Entra ID integration, hub-spoke network topology, Microsoft Defender, and Azure Monitor baseline.
Hub-spoke VNet topology, Azure Firewall, Private Endpoints, NSG policies, DDoS Standard, and Azure Bastion — all wired to Microsoft Sentinel for unified threat detection.
ADLS Gen2 data lake, ADF pipeline templates, Synapse Analytics or Databricks integration, Purview data catalog, and data migration tooling from on-prem SQL Server and Oracle.
Production Agentic AI on Azure using Azure AI Studio, Azure OpenAI, AI Search, and Semantic Kernel — with content safety, responsible AI checks, and Azure Monitor observability.
Azure Site Recovery runbooks, paired region failover, Azure Traffic Manager health probes, SQL Geo-Replication, and AKS multi-region deployment patterns for business continuity.
Azure Cost Management dashboards, Tag inheritance policies, Savings Plan recommendations, Reserved Instance analysis, and automated rightsizing recommendations via Azure Advisor.