mghongodev

Database Professional

Database professional with 5+ years of experience in Microsoft SQL Server query optimization, database performance tuning, and data infrastructure management. Proven expertise in optimizing complex T-SQL queries, stored procedures, and database operations for social entertainment and e-commerce platforms processing 200M+ user records. Skilled in execution plan analysis, index optimization, database monitoring, and ETL pipeline development using Python and MS SQL Server. Experienced in diagnosing performance bottlenecks, troubleshooting production incidents, and collaborating with cross-functional engineering teams in remote, international environments. Passionate about ensuring database infrastructure reliability and scalability for high-load, mission-critical systems.


Experience: 1 year

Yearly salary: $60,000

Hourly rate: $25

Nationality: 🇰🇪 Kenya

Residency: 🇰🇪 Kenya


Experience

Accountant
Prime Cars (K) Ltd
2020 - 2022
Automotive sales and service company with data-driven financial operations and SQL Server database systems. Revamped data-driven financial reporting systems by implementing automated Excel templates with advanced pivot tables and SQL Server integrations, reducing reporting time by 30% and improving data accuracy for pricing and revenue analysis. Developed optimized SQL queries and stored procedures for payroll analysis and budget tracking that incorporated statistical forecasting models, enabling management to identify optimization opportunities and improve profit margins by 15%. Analyzed sales data from SQL Server databases to identify revenue optimization opportunities through trend analysis and outlier detection, leading to strategic pricing adjustments that increased monthly revenue by 22%. Built centralized Tableau BI dashboards consolidating financial, sales, and operational data from heterogeneous SQL Server sources, providing real-time insights into business performance and supporting routine data integrity checks and monitoring.
Laboratory Technician
Burn Manufacturing
2017 - 2018
Manufacturer of fuel-efficient stoves with data-driven quality control processes and automated data systems. Conducted statistical analysis of test results for 50+ product models using mathematical statistics principles, identifying implicit dependencies between design parameters and performance metrics that informed product optimization. Implemented automated data recording systems and quality control checks, improving data quality by 25% and enabling more accurate decisions through systematic data integrity validation and monitoring. Developed Python scripts for automated data extraction, transformation, and reporting, reducing manual processing time by 40% and enabling faster decision-making for development teams. Applied experimental design methodologies to evaluate product configurations, systematically testing performance outcomes and applying data-driven approaches to optimize results.

Skills

data-science
english
french