You will get a reliable ETL or ELT data pipeline for your data platform
Project details
I will design and build a reliable ETL/ELT data pipeline tailored to your source systems, transformation rules, and target platform. The solution can include database, API, file, cloud storage, and data warehouse integrations.
Depending on the selected package, I can implement extraction, transformation, incremental loading, validation, logging, scheduling, orchestration, and error handling using SQL, Python, and appropriate data-engineering technologies.
I focus on building pipelines that are maintainable, scalable, and designed with production-quality practices, with clear source code and documentation.
You will receive the agreed pipeline implementation, configuration, validation logic, and deployment or scheduling guidance. The exact design will depend on your data volume, source systems, target platform, and business requirements.
Depending on the selected package, I can implement extraction, transformation, incremental loading, validation, logging, scheduling, orchestration, and error handling using SQL, Python, and appropriate data-engineering technologies.
I focus on building pipelines that are maintainable, scalable, and designed with production-quality practices, with clear source code and documentation.
You will receive the agreed pipeline implementation, configuration, validation logic, and deployment or scheduling guidance. The exact design will depend on your data volume, source systems, target platform, and business requirements.
Database Type
MySQL, MS SQL, Oracle, PostgreSQLWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$75
Additional Data Source
(+ 2 Days)
+$150
Additional Data Object
(+ 1 Day)
+$50Frequently asked questions
About Khalil
Expert Data Engineer | Cloud Data Platforms | ETL | Data Warehouse
Al Hamalah, Bahrain - 11:34 pm local time
I help organizations build reliable and scalable data warehouses, lakehouses, ETL/ELT pipelines, cloud data platforms, and analytical data solutions that support business intelligence, regulatory reporting, analytics, and AI/ML use cases.
My expertise includes:
• Cloud Data Platforms – designing modern, scalable, and cloud-agnostic data architectures across leading cloud environments
• Data Warehouse & Lakehouse Architecture – enterprise data warehouses, dimensional models, data marts, Delta Lake, and analytical layers
• ETL / ELT Engineering – complex pipelines, incremental loads, orchestration, automation, validation, and data quality controls
• Database Engineering & Performance Tuning – SQL optimization, indexing, partitioning, workload tuning, and troubleshooting across PostgreSQL, Microsoft SQL Server, Amazon Redshift, and other relational platforms
• Data Platform Modernization – migrating legacy data warehouses and ETL platforms to modern cloud and hybrid architectures
• Informatica PowerCenter – mappings, workflows, transformations, integrations, troubleshooting, and performance optimization
• BI & Reporting Data Solutions – building high-performance datasets and analytical models for Power BI, SSRS, paginated reports, dashboards, and enterprise reporting
• Large-Scale Data Processing – designing and optimizing solutions for high-volume and complex data workloads
• Financial & Banking Data – extensive experience with deposits, loans, payments, transactions, general ledger, financial reporting, and regulatory datasets
• Data Architecture & Technical Leadership – requirements analysis, solution architecture, technical design, implementation planning, and end-to-end delivery
I’m particularly experienced in solving challenging data problems such as slow SQL queries, long-running ETL processes, reporting timeouts, database performance bottlenecks, large data volumes, complex integrations, and legacy platforms that require modernization.
Whether you need a complex SQL query optimized, an ETL pipeline redesigned, a database performance issue resolved, a legacy platform modernized, or a complete cloud data platform, data warehouse, or lakehouse solution designed and implemented, I can help.
My focus is on delivering solutions that are scalable, reliable, maintainable, secure, and production-ready, with clear communication and full ownership from design through implementation.
Steps for completing your project
After purchasing the project, send requirements so Khalil can start the project.
Delivery time starts when Khalil receives requirements from you.
Khalil works on your project following the steps below.
Revisions may occur after the delivery date.
Review Requirements and Data Sources
I will review the source systems, target platform, data objects, schemas, transformation rules, expected volumes, and scheduling requirements to confirm the pipeline scope.
Design the ETL / ELT Pipeline
I will design the data flow, extraction approach, transformation logic, incremental-load strategy, validation checks, error handling, and target-loading method.