Is your organization struggling with data silos, manual workflows, slow insights, scaling issues, or unreliable deployments? Let’s build together a cost-efficient, cloud-based solution with robust data engineering and DevOps practices.
Your organization may already be facing some of these following challenges and I can support you at every step:
Too much data, not enough insight
Your company is sitting on mountains of data (logs, events, relational databases, files, APIs…), but cannot leverage it effectively.
➔ I can build a cloud architecture that collects, cleans, transforms, and formats the data to make it actionable in real time or near real time. See Data Engineering services.
Data Silos
Your data lives in different systems (CRMs, ERPs, Excel files, databases, APIs) and it’s nearly impossible to get a unified view. Teams work in isolation, and valuable insights are lost in fragmentation.
➔ I build data pipelines that centralize and normalize your data into a unified platform (e.g., a data lake or warehouse), making it easily accessible for analysis and decision-making. See Data Engineering services.
Manual Work
Business users or analysts waste hours on repetitive tasks like exporting data, merging spreadsheets, or running scripts manually. This is time-consuming, error-prone, and not scalable.
➔ I automate data ingestion, transformation, and delivery using modern ETL/ELT tools and workflows, freeing up time and reducing errors. See Data Engineering services.
Slow Insights
Reports are outdated by the time they’re ready. Decisions are based on stale data because real-time visibility just isn’t there.
➔ I implement real-time or near real-time data pipelines using streaming technologies (e.g., Azure Event Hub, Kinesis), enabling up-to-date dashboards and faster decision-making. See Data Engineering services.
Poor Scalability and technical debt
Your current architecture breaks under load, can’t handle growth, or is too expensive to scale. You’re stuck firefighting instead of innovating.
➔ I design and deploy cloud-native solutions (on Azure and AWS) that scale automatically, cost-effectively, and reliably as your data and user base grow. See Cloud Engineering services.
Fragile Deployments
Deploying changes is risky and painful: it breaks things, takes time, and lacks rollback options. Your team hesitates to release updates.
➔ I implement CI/CD pipelines that automate build, test, and deployment processes, allowing for safer, faster, and more frequent releases with confidence. See DevOps Engineering and Automation services.
Lack of Observability
When something breaks, it’s hard to know why or where. There’s no monitoring, no logs, and no alerts.
➔ I can help you with: I set up end-to-end monitoring, logging, and alerting (e.g., with Prometheus, Grafana, or native cloud tools), giving you visibility and control over your systems. See Cloud Engineering services.