Miloš P.

I help companies build reliable data pipelines, trusted analytics datasets, and production-ready data platforms. With 10+ years of experience across database development, data engineering, analytics, and production monitoring, I specialize in solving the problems that appear between raw data and reliable business insights: broken pipelines, poor data quality, inconsistent metrics, slow SQL, unreliable reporting, and difficult-to-maintain data systems. My background combines deep SQL and PL/SQL and Oracle expertise with modern cloud analytics and data reliability practices using BigQuery, GCP, Looker, Datadog, ETL/ELT pipelines, monitoring, and automated data validation. Data Reliability & Observability - Data quality checks and validation frameworks - Pipeline monitoring and automated alerting - Data observability and anomaly detection - Root cause analysis of production data issues - Data reconciliation and consistency checks - Pipeline health and reliability monitoring - Incident investigation and troubleshooting Analytics Engineering - Advanced SQL and data transformation - BigQuery development and optimization - Analytics-ready datasets and data models - Dimensional modeling - ETL/ELT pipeline development - KPI and metric definition - BI data preparation - Data warehouse design and optimization GCP & Data Platforms - Google BigQuery development and analysis - Complex SQL queries, tables, views, and scheduled queries - Data Studio(Looker) analytics and reporting - Datadog monitoring and alerting - Monitoring production Dataflow jobs and Pub/Sub resources - Data pipeline health monitoring - Production issue investigation and root cause analysis - Data quality and anomaly detection Oracle & SQL Engineering - Advanced SQL and PL/SQL - Packages, procedures, functions, and triggers - Query and database performance tuning - Execution plan analysis - Data modeling and database architecture - ETL development - Legacy Oracle modernization I can help you with: - Investigating unreliable or failing data pipelines - Building data quality and monitoring solutions - Designing BigQuery analytics solutions - Creating analytics-ready datasets - Optimizing expensive or slow SQL queries - Building or improving ETL/ELT pipelines - Designing Datadog monitoring for data systems - Troubleshooting complex production data issues - Oracle SQL/PLSQL development and optimization - Modernizing legacy database and reporting systems I’m particularly useful when a project requires someone who can work across data engineering, analytics, databases, and production reliability rather than treating them as separate problems. If your data pipelines are unreliable, your reports cannot be trusted, your SQL is becoming difficult to maintain, or you need to turn operational data into a reliable analytics platform, I can help you design and implement a practical production-ready solution.