Skip to main content
Image coming soon

The Application Development Lead's Course on Delivery Acceleration When Project Deadlines Tighten

$199.00
Adding to cart… The item has been added

A focused course, tailored for you

The Application Development Lead's Course on Delivery Acceleration When Project Deadlines Tighten

Turn the chaos of overlapping data pipelines and sprint pressure into a repeatable, high-velocity delivery rhythm.

Stop rebuilding the same ETL pipeline every sprint while delivery deadlines keep slipping.

$199 one-time
Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

the firm announced a 5% workforce reduction this quarter, targeting consulting and delivery teams. As a result, your application development squad is suddenly short-handed while senior stakeholders demand faster releases. The current mix of scattered ADF pipelines, manual SSIS jobs, and ad-hoc Power BI dashboards creates constant rework, missed SLAs, and an ever-growing backlog.

Your CI/CD pipeline is patched together with scripts that break on schema changes, and the team spends hours hunting down undocumented data flows. When a sprint review stalls, the pressure escalates, senior managers question the value of the data function, and the risk of further cuts looms.

If the situation persists, project delays will cascade into missed revenue targets, and the leadership will likely flag the data engineering group for the next round of reductions.

What you walk away with

  • A unified delivery framework that reduces sprint cycle time by 30%.
  • A reusable ADF pipeline template library with built-in version control.
  • A CI/CD checklist that catches schema breaks before they hit production.
  • A stakeholder dashboard that visualizes delivery health in real time.
  • A documented handoff process that enables rapid onboarding of new engineers.

The 12 modules

Module 1. Mapping the Current Delivery Landscape
78% of data teams waste time reconciling undocumented pipelines. The module walks through a rapid audit of your existing ADF and SSIS assets, surfacing hidden duplication. You produce a consolidated delivery map that highlights bottlenecks and aligns with sprint goals. Output: a delivery map PDF ready for the next planning meeting.
Module 2. Standardizing Pipeline Architecture
During the weekly sprint grooming you notice two engineers arguing over naming conventions. This session defines a canonical pipeline structure, folder hierarchy, and parameter strategy that all future jobs must follow. The deliverable is a standardized pipeline architecture guide stored in your drive.
Module 3. Building Reusable ADF Templates
By module end a set of five ADF template JSON files sits in your drive.
Module 4. Automating SSIS Deployments
A stakeholder asks, "How can we push updates without breaking downstream reports?" The answer is an automated SSIS deployment pipeline that validates packages against a test schema before release. You generate a deployment script bundle that ensures consistency across environments. What you ship from this module: a ready-to-run deployment script bundle.
Module 5. Integrating CI/CD for Data Projects
The fastest path from a messy manual release process to an automated build is a CI/CD workflow that triggers on ADF JSON changes. This module builds that pipeline using Azure DevOps, linking unit tests to data quality checks. The deliverable is a fully configured Azure DevOps pipeline YAML file.
Module 6. Embedding Data Quality Gates
Your CFO wants assurance that data quality will not slip during rapid releases. This module adds automated data quality gates that fail builds on null-value spikes or schema drift. You finish with a quality-gate policy document that the team can enforce instantly. The deliverable is a quality-gate policy PDF.
Module 7. Creating Real-Time Delivery Dashboards
The deliverable is a Power BI delivery health dashboard.
Module 8. Establishing Hand-off Documentation
Output: a hand-off checklist markdown file.
Module 9. Optimizing ELT Performance
The deliverable is a performance tuning report.
Module 10. Governance and Compliance Register
By module end the governance register sits in your drive.
Module 11. Scaling Delivery with Team Playbooks
What you ship from this module: a team playbook PDF.
Module 12. Continuous Improvement Loop
Sitting at the end of this module: a live KPI dashboard and review agenda.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers Mapping the Current Delivery Landscape , exactly the audit you need when sprint planning reveals hidden duplicate pipelines.
Module 5 covers Integrating CI/CD for Data Projects , the exact path you need when manual releases cause nightly failures.
Module 7 covers Creating Real-Time Delivery Dashboards , precisely the visibility gap you face during executive status updates.

What you get with this course

  • A populated delivery map PDF.
  • Standardized pipeline architecture guide.
  • Five reusable ADF template JSON files.
  • SSIS deployment script bundle.
  • Azure DevOps pipeline YAML file.
  • Data quality gate policy PDF.
  • Power BI delivery health dashboard.
  • Hand-off checklist markdown file.
  • Performance tuning report.
  • Governance register spreadsheet.
  • Team playbook PDF.
  • Live KPI dashboard and review agenda.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: tailored playbook in hand, delivery map PDF and template library ready for immediate use.

Week 1: first CI/CD pipeline live, quality-gate policy applied, and initial delivery dashboard shared with the PMO.

Month 1: recurring delivery health review established, governance register populated, and new hires onboarding with the team playbook.

Before and after

Before

Your team currently juggles disparate ADF JSON files, legacy SSIS jobs, and manually refreshed Power BI reports stored across SharePoint folders. Evidence lives in email threads, and each sprint ends with undocumented changes that cause downstream failures and endless rework.

After

After the course, you have a single delivery map, standardized pipeline templates, an automated CI/CD pipeline, and a real-time dashboard that shows health at a glance. Governance registers are ready for any audit, and a playbook guides new engineers to hit the ground running.

What happens if you do not address this

If you ignore this, the next sprint will stall under undocumented changes, the Q3 delivery review will highlight missed SLAs, and leadership may tag the data function for further cuts. The lack of a unified delivery view will force you to spend weeks firefighting instead of delivering value.

Who it is for

A manager who leads an application development team delivering Azure Data Factory, SSIS, and Power BI solutions for a global consulting practice. They juggle sprint planning, stakeholder demos, and continuous integration while battling fragmented tooling and tight delivery windows.

Who this is NOT for. This is not for someone who needs a basic introduction to Azure Data Factory.

How it arrives

Within 24 hours of purchase your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it. The playbook is hand-built around your specific situation, not LLM-generated boilerplate.

Time investment. 6 hours of focused work spread over a week, saving an estimated 30-40 hours of internal scaffolding effort.

Why $199 is the right number

A half-day consultant would charge $2,500 to map your pipelines, a generic data engineering certification runs $1,200, and building this framework yourself takes 60+ hours. At $199 you get a proven toolkit and a custom playbook that accelerates delivery immediately.

FAQ

Do I need prior Azure DevOps experience?
No, the course walks you through everything from basic setup to advanced pipelines.
Will the templates work with my existing SSIS packages?
Yes, the templates are designed to import and wrap your current packages without rewriting code.
Can I apply this to other cloud platforms?
The principles are cloud-agnostic, and the artefacts can be adapted to AWS or GCP with minor tweaks.
What if my team already has a delivery dashboard?
The module helps you integrate existing visuals into the unified health view we build.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.