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From SSIS lifecycle advisory and AI‑enhanced data engineering to foundational data architecture reviews, EDNA delivers clarity, innovation, and scalable data solutions for healthcare, finance, public sector, and beyond.

Explore SSIS Lifecycle Advisory Explore AI‑Enhanced Data Engineering Explore Data Architecture Review

 

What We Offer

SSIS Lifecycle Advisory

Navigate SSIS platform changes with confidence through expert-led assessment, planning, and migration support.

  • SSIS health assessment and risk analysis
  • Migration planning to modern platforms
  • Lifecycle strategy and optimization roadmap

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AI‑Enhanced Data Engineering

Integrate AI into your data pipelines for automation, observability, and predictive power.

  • ML‑powered monitoring & root‑cause acceleration
  • Generative AI tools embedded in workflows
  • Advisory + hands‑on implementation

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Consulting & Projects

Hands‑on engagement: pipeline builds, migrations, performance tuning, governance.

  • Fabric Data Factory • Azure Data Factory • SSIS
  • Hybrid on‑prem + cloud strategies
  • Observability & cost optimization

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Training & Education

Upskill your team with live and recorded training in modern data platforms.

  • Fabric Data Factory
  • Azure Data Factory
  • Conference‑tested curricula

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Why EDNA?

Recognized Thought Leadership

Authors, international speakers, widely read technical blogs and courses.

Proven Complexity Handling

We finish the toughest projects where others stall—reliably.

Ethical, Value‑Driven Approach

Innovation with integrity. Client dignity, security, and outcomes first.

Scalable & Tiered Services

Start small. Grow deliberately. Predictable scope and ROI at each step.

 

Introducing AI‑Enhanced Data Engineering — Tiered Framework

Level 1: Strategy Review

"Where are we, and where should we go?"

Level 2: Architecture Blueprint

"How do we design it right?"

Level 3: Implementation Accelerator

"How do we make it real?"

Level 4: Ongoing Optimization & AI Integration (Retainer)

"How do we maximize value over time?"

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Data Architecture Strategy Review — Tiered Framework

Level 1: Foundational Strategy Review

Architectural approach audit • Platform alignment • Governance & best‑practice gap analysis • Code quality review

Level 2: Deep Dive Architecture Optimization

Performance & bottleneck analysis • Pipeline optimization (SSIS / ADF / Fabric) • Migration & remediation roadmap

Level 3: Enterprise Multi‑Platform Strategy Review

Cross‑platform integration • Comparative platform analysis • TCO modeling • Governance & scale strategy

Level 4: Ongoing Advisory & Optimization (Retainer)

Periodic health checks • Improvement sprints • Proactive monitoring • Executive ROI dashboards

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Training & Resources

Azure + Fabric Data Factory Training

Beginner to Advanced Level

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Recorded Courses

Conference‑tested lessons for team enablement at your pace.

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Andy Leonard's Blog

Essays, design patterns, and practical guidance from the field.

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Engineer of Data Newsletter

Andy Leonard's Newsletter is titled "Engineer of Data"

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