You will get robust & scalable ETL data pipelines using Azure Data Factory & Databricks
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Project details
Being an experienced Data Engineer with multiple successful ETL Project Deliveries, I guarantee you timely delivery and fulfilment of the requirements, I expect to hear from you soon!
Following are my areas of expertise:

ETL & ELT Data Pipelines
Azure Databricks (Pyspark, Delta tables)
Data warehousing (Azure SQL DB)
Azure Data Factory
Azure Functions, Azure Logic Apps, Azure Event Hub
Databases (SQL Server, Mysql, PostgreSQL, MongoDB)
Following are my areas of expertise:

ETL & ELT Data Pipelines
Azure Databricks (Pyspark, Delta tables)
Data warehousing (Azure SQL DB)
Azure Data Factory
Azure Functions, Azure Logic Apps, Azure Event Hub
Databases (SQL Server, Mysql, PostgreSQL, MongoDB)
Project Type
Data AnalysisWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | Unlimited |
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About Waheed
Data Engineer & Analyst | Azure, Databricks, Fabric, ETL Pipeline
100%
Job Success
Rawalpindi, Pakistan - 2:03 pm local time
Is your leadership team waiting weeks for reports? Are your data pipelines constantly breaking, or is your cloud spend spiraling out of control?
I don't just "write ETL", I build the scalable, automated engines that turn raw, messy data into real-time business intelligence. With over 6,000+ hours on Upwork and a 100% Job Success Score, I help enterprises move from manual data chaos to a streamlined, modern data stack.
My Core Focus:
- Microsoft Fabric: End-to-end implementation (OneLake, Data Factory, Lakehouse/Warehouse).
- Databricks: Building robust Medallion architectures using Spark, Delta Lake, and Unity Catalog.
- Automated ETL/ELT: Designing resilient pipelines with Airflow, Azure Data Factory, and Python.
- Enterprise BI: High-performance Power BI dashboards using Direct Lake and advanced DAX.
Why Clients Choose Me:
I bridge the gap between technical complexity and business ROI. Whether you are migrating from legacy SQL servers to the cloud or optimizing a complex Databricks environment, I focus on two things: Performance and Clarity.
Technical Ecosystem:
- Languages: Python, SQL, PySpark, DAX
- Platforms: Microsoft Fabric, Azure Synapse, Databricks, Snowflake
- Tools: Airflow, ADF, Power BI, Tableau, PostgreSQL/MySQL
Ready to transform your data infrastructure into a strategic asset? Click the "Message" or "Book Consultation" button, and let’s discuss your architecture.
Steps for completing your project
After purchasing the project, send requirements so Waheed can start the project.
Delivery time starts when Waheed receives requirements from you.
Waheed works on your project following the steps below.
Revisions may occur after the delivery date.
ETL Development
After getting the requirements, I will develop the data pipeline as required. The steps will be to ingest data using Azure Logic Apps or ADF or using ODBC/JDBC connections. Transform the data using ADF or Azure Synapse or Databricks.