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I always start by examining the data selection logic, using specific field selection instead of SELECT *, which can dramatically reduce memory usage. Then, I'll break down large data sets into manageable packages. For a recent project, I added indexes to frequently accessed fields and implemented parallel processing where possible. The key is choosing the right internal table types based on how we'll access the data. This approach recently helped me reduce a report's runtime from hours to minutes.

Last quarter, we needed to improve the sales order process. My first step was documenting everything about the standard process to avoid surprises later. I found several areas to improve and BAdIs we could use instead of modifying standard code. After discussing options with the team, we implemented a BAdI solution that added our custom logic while keeping the core code untouched. We tested extensively in dev and QA  testing environments before going live. Six months later, our solution handled an SAP upgrade without any issues.

Security isn't an afterthought in my development process. Each custom program gets proper authority checks built in from the start. I run every piece of code through SAP's code inspector to catch vulnerabilities early. For authorization design, I follow the principle of least privilege — users get exactly what they need, nothing more. All user inputs get sanitized to prevent injection attacks. Recently, I implemented these practices for a finance module, and our security audit came back clean for the first time in three years.

Integration projects require careful planning. On a recent project connecting SAP with our warehouse system, I started by mapping out data structures and business processes on both sides. I built RFC-enabled function modules with comprehensive error handling and logging. To prevent data duplication, I added idempotency checks. The operations team got real-time monitoring reports to track interface status. This approach helped us achieve 99.9% uptime for critical interfaces.

I recently led a Fiori project transforming how our manufacturing client monitors production. We built a shop floor dashboard that pulls real-time metrics from S/4HANA through OData services. The tricky part? The factory had spotty WiFi coverage. We solved this by implementing offline functionality that syncs when the connection returns. I made sure everything followed Fiori design guidelines — consistent layouts, clear navigation, and responsive design. Shop floor employees now check KPIs on tablets while walking the floor, and adoption hit 94% within two months.

We had a BW query that was killing performance — 15 minutes to run basic reports. After digging into execution plans, I spotted the culprits: inefficient joins and calculations happening in the wrong place. Instead of band-aiding the problem, we rebuilt it the right way. I replaced traditional InfoCubes with HANA views and moved calculations to HANA calculation views where they belong—added parallel processing for good measure. Now, those 15-minute reports run in under 30 seconds. Monthly closing went from an all-night process to a before-lunch task.

Transport management needs structure, especially when you're juggling multiple projects. Each development gets its own transport request — no exceptions. I map out object dependencies like a family tree and sequence releases accordingly. Before anything moves to production, it goes through technical validation and thorough testing in quality systems. I always have a backup plan for big changes and work closely with the team on timing. This method caught several potential conflicts last quarter before they could cause problems.

Performance testing starts on day one, not just before going live. We set clear benchmarks for a recent logistics application — sub-second response times for standard transactions and under five seconds for complex reports. I use SAP's performance trace tools to establish baselines and identify bottlenecks. Load testing simulates real-world scenarios with actual data volumes. We recently caught a memory leak during load testing that would have crashed the system during month-end processing. Prevention beats firefighting every time.

Careful planning made all the difference in our recent financial migration to S/4HANA. We built solid transformation rules and field mappings upfront, ran multiple trial migrations instead of one big move, used automated reconciliation checks, and had business users verify data samples throughout. We ended up with a clean weekend go-live with 100% accuracy. Those trial runs saved us from several headaches we hadn't spotted initially.

Finance needed their month-end processing cut from 8 hours to 4. Instead of quick fixes, we revamped the entire approach by converting sequential jobs to run in parallel, splitting one large job into manageable chunks, adding real-time monitoring alerts, and eliminating redundant data reads. The whole process now runs in 3.5 hours, and the system load is lower. The finance team gets their reports before their morning meetings—precisely what they need.