I will build scalable data engineering, etl pipelines, big data and lakehouse solutions

Pakistan

I speak English, German, French

1 order completed

Data Engineer

Data Engineer & Python Engineer with 5+ years of experience building scalable ETL/ELT, streaming, analytics, and backend systems. Specialized in AWS, Azure, Snowflake, Databricks, Redshift, BigQuery, ...

About this Gig

Need a Senior Data Engineer for scalable ETL/ELT pipelines, Big Data processing, Data Warehousing, or Lakehouse architectures?

I'm Muhammad Ahmed, a Data Engineer with 4+ years of experience building enterprise-grade data platforms across AWS, Azure, GCP, and Snowflake ecosystems.

Services I Offer:

ETL / ELT Pipeline Development
Batch & Stream Processing
Data Warehouse & Lakehouse Architecture
Data Lakes & Medallion Architecture
Big Data Processing with PySpark & Spark SQL
Apache Airflow Workflow Orchestration
Kafka & Spark Streaming Pipelines
DBT Transformations & Modeling
Cloud Data Platforms & Analytics
OLAP / OLTP Data Modeling
Star Schema & Snowflake Schema Design

Technologies:

Azure Databricks, Snowflake, GCP BigQuery, Amazon Redshift, Apache Spark, PySpark, Kafka, Airflow, DBT, Snowflake SQL, SparkDF, PostgreSQL, AWS, Docker, Python, SQL.

I build scalable, reliable, and cloud-native data engineering solutions for analytics, reporting, automation, and real-time processing. And provide AI/ML and analytics ready data.

Data Engineering, ETL, ELT, Big Data, PySpark, Airflow, Kafka, Snowflake, Databricks, Data Warehouse, Redshift, BigQuery.

build scalable data engineering, etl pipelines, big data and lakehouse solutions

Full Screen

build scalable data engineering, etl pipelines, big data and lakehouse solutions

Full Screen

Full Screen

build scalable data engineering, etl pipelines, big data and lakehouse solutions

build scalable data engineering, etl pipelines, big data and lakehouse solutions

build scalable data engineering, etl pipelines, big data and lakehouse solutions

Warehouse Platform:

Snowflake

•

BigQuery

•

Databricks

Project Type:

New Build

My Portfolio

FAQ

Which cloud platforms do you support?

I work with AWS, Azure, GCP, Snowflake, Databricks, Amazon Redshift, and BigQuery.

Do you build batch and streaming pipelines?

Yes. I develop batch pipelines using Apache Spark and streaming solutions using Kafka and Spark Streaming.

Can you design Data Warehouse and Lakehouse architectures?

Yes. I design scalable Data Lakes, Data Warehouses, and Lakehouse systems using Medallion Architecture and modern cloud platforms.

Which orchestration tools do you use?

Apache Airflow, Snowflake Tasks/Scheduled Jobs, and cloud-native scheduling solutions.

Do you implement data modeling?

Yes. I work with Star Schema, Snowflake Schema, Dimensions, Fact Tables, OLAP, and OLTP modeling.

Which technologies do you use for data processing?

PySpark, Spark SQL, DBT, Snowflake SQL, SparkDF, Python, SQL, Kafka, and cloud-native processing tools.

Can you optimize existing pipelines?

Yes. I can improve performance, scalability, cost optimization, and reliability of existing data engineering systems.

Related tags