You will get SQL Performance Optimization & Database Audit
Project details
In addition to writing optimized queries: I analyze architecture, data flow, scalability, and business impact.
With experience spanning Big Data pipelines, IoT sensor ingestion, cloud environments, and SQL optimization, I deliver solutions that are technically robust and aligned with real business goals.
Every project is structured, performance-focused, and designed for long-term maintainability without aiming for a quick fix.
With experience spanning Big Data pipelines, IoT sensor ingestion, cloud environments, and SQL optimization, I deliver solutions that are technically robust and aligned with real business goals.
Every project is structured, performance-focused, and designed for long-term maintainability without aiming for a quick fix.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, MongoDB, TeradataWhat's included
| Service Tiers |
Starter
$350
|
Standard
$800
|
Advanced
$1,600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 4 |
Schema Diagram | |||
Permissions Setup | |||
Import/Export Data | - | ||
Admin Panel Setup | - | - |
About Nivetha
Senior Data Engineer | Real-Time & Big Data| SQL, Python, NoSQL
Sapporo, Japan - 1:05 pm local time
With experience spanning Aerospace propulsion analytics, IoT sensor platforms, Financial transaction systems, and Amazon-scale automation, I specialize in building end-to-end data solutions — from ingestion to insight.
What I Do
• Design and optimize SQL databases
• Build ETL / ELT pipelines (Python, PySpark, Spark)
• Develop real-time ingestion systems (MQTT, high-frequency streaming data)
• Architect MongoDB & NoSQL data environments
• Build AWS-based pipelines (S3, EC2, Athena)
• Automate repetitive workflows using Python
• Transform messy data into structured, analytics-ready systems
• Develop dashboards (Power BI) when business visibility is required
Selected Impact
• Built MongoDB-based big data module reducing multi-database dependency in production
• Developed high-frequency (531Hz) ingestion into HBase data lake
• Automated logistics workflow at a major European e-commerce operation — reduced 7 hours of manual work to 28 seconds
• Designed Python simulation framework and regression models for Aerospace propulsion systems
I work comfortably across time zones and can support both independent execution and collaborative client engagement.
If you need someone who understands both backend data engineering and business impact, let’s discuss your system.
Steps for completing your project
After purchasing the project, send requirements so Nivetha can start the project.
Delivery time starts when Nivetha receives requirements from you.
Nivetha works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review & Clarification
I review requirements and clarify scope if needed.
Environment & Data Assessment
Analyze database schema, data structure, and current performance (if optimization project).