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.
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
How this addresses your situation
Specific modules that map to what you said you are dealing with.
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
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 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.
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
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.