Database Operations
Scheduled and on-call support for critical database environments, including monitoring, incident response, backups, restore coordination, and escalation handling.
Datrick
Book intro
Data engineering, operations, and applied AI
Datrick helps teams stabilize data platforms, support database operations, manage migrations, and deploy AI workflows connected to real business systems.
Capabilities
Scheduled and on-call support for critical database environments, including monitoring, incident response, backups, restore coordination, and escalation handling.
Development, QA, testing, optimization, and transition support for teams modernizing legacy applications, database workloads, and infrastructure.
Warehouse and lakehouse design across cloud data platforms, object storage, operational systems, and pipelines built for scale, cost control, and maintainability.
Custom pipelines, API integrations, workflow orchestration, transformation layers, and automated data quality checks for daily operations.
Decision-ready dashboards and KPI frameworks for customer, revenue, logistics, operational SLA, and executive reporting needs.
Internal copilots, document and data analysis, reporting automation, and LLM-backed workflows connected to real business systems.
Why Datrick
AI workflows are grounded in the same data, reporting, pipeline, and operating systems your team already depends on.
Every build includes access boundaries, review points, evaluation criteria, fallback behavior, and operating documentation.
Datrick can support the operational work around migrations: testing, QA, reporting continuity, documentation, and handover.
Work is scoped around clear outcomes, named responsibility, direct communication, and practical delivery cadence.
Datrick + Anthropic
We help teams move from Claude experimentation to production systems that support reporting, service operations, migration work, and internal knowledge workflows.
Every engagement is scoped around a workflow owner, real system access, evaluation criteria, human review points, and operating documentation.
Talk to a Claude implementation expertIdentify high-value use cases, data readiness gaps, integration needs, risk areas, and measurable production outcomes.
Build assistants, automation steps, retrieval workflows, document intelligence, reporting copilots, and operational tools.
Train technical and business teams on Claude usage patterns, review workflows, prompt design, and safe operating practices.
Add guardrails, evaluation sets, access controls, logging, documentation, support cadence, and continuous improvement.
Claude implementation services
Role-specific assistants for operations, analytics, customer success, finance, and technical teams, grounded in company documents and data context.
Claude workflows that summarize, classify, extract, compare, and route information from contracts, PDFs, emails, tickets, spreadsheets, and reports.
Natural-language interfaces for metrics, dashboards, KPI definitions, runbooks, and warehouse context with permission-aware retrieval.
Claude-powered steps inside CRM, helpdesk, email, Slack, spreadsheets, reporting, and service desk processes with human approval where needed.
Assistants for migration checklists, test plans, issue summaries, documentation, stakeholder updates, and handover materials.
Prompt design, evaluation sets, access rules, logging, review steps, fallback behavior, and operating documentation for production use.
Claude Code and team enablement
Workshops and implementation support for engineering teams using Claude Code for codebase understanding, refactoring, tests, migration support, and delivery acceleration.
Hands-on sessions with operations, analytics, and leadership teams to map where Claude can reduce manual reporting, triage, documentation, and handoff work.
Define review criteria, approval flows, test examples, escalation rules, and rollout boundaries so Claude workflows can be trusted in daily use.
How AI projects start
Map workflows, rank automation candidates, review data readiness, and define a practical implementation roadmap.
Output Opportunity map, ROI model, scope recommendation.Deploy one working workflow connected to real systems, with human review points and measurable before/after outcomes.
Output Production workflow, documentation, handoff plan.Roll out multiple workflows across reporting, support, finance, migration, or operations with monitoring and improvement cadence.
Output Multi-workflow deployment, operating rhythm, ongoing support.Relevant environments
Datrick works best in data-intensive operating environments where stakeholders need dependable systems, clear escalation, visible delivery progress, and automation grounded in real data.
Experience
Datrick is led by Can Goktug Ozdem, a senior data architect and analyst with experience across SaaS, e-commerce, logistics, credit, insurance, and enterprise BI environments.
Engagement model
We identify the business problem, critical systems, current risks, stakeholders, and desired operating outcome.
We define coverage, deliverables, access needs, communication cadence, escalation paths, and acceptance criteria.
We review runbooks, documentation, environments, dashboards, alerts, and known recurring issues before go-live.
We execute through a named lead, maintain status visibility, and escalate issues with enough context to act.
We keep stakeholders aligned through progress notes, blockers, operational findings, and delivery summaries.
We document recurring issues, tune slow systems, automate repetitive work, and make reporting more reliable.
Contact
Tell us what needs to be built, stabilized, migrated, automated, or monitored. We will respond with a practical next step and the information needed to scope the work.