You will get SQL Query Optimization & Database Performance Tuning
Rising Talent
Rising Talent
Project details
Your queries are taking minutes instead of seconds. Your reports time out. Your database is struggling under load. I’ll find the bottlenecks and fix them.
I’ve spent 4 years writing and optimizing SQL across PostgreSQL, MySQL, and SQL Server — in production environments where slow queries meant delayed dashboards for 2,500+ daily users. I know how to read execution plans, design proper indexes, and restructure queries for performance.
What you get: • Query audit — I’ll analyze your slow queries and explain exactly why they’re slow • Optimized queries — rewritten for speed (proper joins, CTEs, window functions, subquery elimination) • Indexing strategy — right indexes on the right columns • Execution plan analysis — visual breakdown of where time is being spent • Performance report — before vs. after benchmarks
Common fixes I deliver: missing indexes, unnecessary full table scans, N+1 query patterns, inefficient joins, bad WHERE clause ordering, unoptimized aggregations, missing partitioning
Databases: PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Redshift
This is fast-turnaround work. Send me your slow queries and I’ll tell you what’s wrong within hours.
I’ve spent 4 years writing and optimizing SQL across PostgreSQL, MySQL, and SQL Server — in production environments where slow queries meant delayed dashboards for 2,500+ daily users. I know how to read execution plans, design proper indexes, and restructure queries for performance.
What you get: • Query audit — I’ll analyze your slow queries and explain exactly why they’re slow • Optimized queries — rewritten for speed (proper joins, CTEs, window functions, subquery elimination) • Indexing strategy — right indexes on the right columns • Execution plan analysis — visual breakdown of where time is being spent • Performance report — before vs. after benchmarks
Common fixes I deliver: missing indexes, unnecessary full table scans, N+1 query patterns, inefficient joins, bad WHERE clause ordering, unoptimized aggregations, missing partitioning
Databases: PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Redshift
This is fast-turnaround work. Send me your slow queries and I’ll tell you what’s wrong within hours.
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$50
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
Number of Queries | 1 | 5 | 6 |
Query Debugging | - | ||
Query Optimization | |||
Query Scheduling | - | - | |
Query Analysis | - | ||
Source Code | - | - | - |
About Muhammad
Data Engineer | Databricks, Azure, Spark, Airflow | Pipelines & DWH
Islamabad, Pakistan - 6:27 am local time
In 4 years across banking, telecom, and fast-moving startups, here's what I've delivered:
• Designed a Data Lakehouse using Apache Iceberg, Spark & MinIO — processing structured + unstructured data at scale
• Built event-driven pipelines (Kafka → Elasticsearch) with 20% improvement in system efficiency
• Created KPI dashboards used by 2,500+ employees daily, saving 20+ hours/week of manual reporting
• Managed 30+ production data pipelines with high availability and scheduled reporting
• Migrated large-scale Hadoop/Hive workloads to modern platforms and built production Databricks + Azure Data Factory pipelines
• Automated website analytics collection using Airflow + SQL, saving cost equivalent to 3 employees per site
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WHAT I DO BEST:
• Data Pipeline Development
- End-to-end ETL/ELT pipelines using Python, SQL, Spark, Airflow, NiFi, and dbt
- Idempotent design with retries, backfills, error handling, and data validation
- Batch and near real-time (CDC) ingestion from APIs, databases, files, and streams
• Data Lakehouse & Warehouse
- Architecture using Databricks, Apache Iceberg, Snowflake, Synapse, Redshift, and Doris
- Medallion architecture (Bronze/Silver/Gold) with schema evolution and data quality gates
- Dimensional modeling, star/snowflake schemas, SCD2, and naming conventions
• Microsoft / Azure Data Stack
- Production pipelines with Azure Data Factory and Databricks
- Synapse Analytics for warehousing and analytics workloads
- Microsoft Fabric for unified data and reporting
• Big Data Platforms
- Hadoop, Hive, and Ambari for large-scale data processing
- Hadoop-to-cloud migrations and legacy system modernization
- HiveQL optimization, partitioning, and ORC/Parquet tuning
• Real-Time Streaming
- Kafka-based event-driven architectures feeding Elasticsearch
- Stream processing with monitoring and alerting (Grafana / Loki)
- Back-pressure handling and pipeline throughput tuning
• Cloud Data Infrastructure
- AWS (S3, Glue, Redshift, Athena, Lambda, Kinesis) setup and optimization
- Cost optimization (FinOps), storage tiering, and performance tuning
- Containerized workloads with Docker
• BI & Dashboards
- Power BI, Grafana, Kibana dashboards built for real decision-making
- Data governance, security, and role-based access
- KPI tracking from executive overview down to detail level
• SQL & Performance Tuning
- Complex queries, window functions, CTEs across PostgreSQL, MySQL, SQL Server, Oracle
- Query optimization, indexing strategy, and execution-plan analysis
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MY TECH STACK:
• Languages: Python (Django, Flask, FastAPI), SQL, PL/SQL, NoSQL
• Data Tools: Apache Airflow, Spark/PySpark, Kafka, NiFi, dbt, Trino
• Microsoft/Azure: Databricks, Azure Data Factory, Synapse Analytics, Microsoft Fabric
• Big Data: Hadoop, Hive, Ambari
• Cloud: AWS (S3, Lambda, Glue, Redshift, Athena, Kinesis), Docker
• Warehousing & Storage: Snowflake, Apache Iceberg, MinIO, Elasticsearch, Apache Doris
• Databases: PostgreSQL, MySQL, SQL Server, Oracle
• BI & Monitoring: Power BI, Grafana, Kibana, Loki
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CERTIFICATIONS:
• AWS Certified Solutions Architect – Associate
• Astronomer Certified Apache Airflow 3
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INDUSTRIES I'VE WORKED IN:
• Banking & Fintech
• Telecom
• Technology Startups
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Whether you need a data pipeline built from scratch, a messy warehouse cleaned up, a Hadoop-to-cloud migration, a real-time streaming system, or a dashboard that actually gets used — message me and let's talk specifics. I respond within 2 hours.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
after requirement collection
You fill out this questionnaire and share your slow queries or grant access i will analyze the requirement and proceed accordingly I deliver an audit report explaining exactly what’s slow and why
implementation
I implement the optimizations (rewritten queries, indexes, partitioning)