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, including Salesforce, SAP, ServiceNow, JDBC databases, REST APIs, with schema evolution handling and error recovery.
Databricks SQL dashboard templates for common use cases, including 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, using 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.