You will get Scalable Data Pipelines, ETL Workflows & Cloud Data Engineering Solutions
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Top Rated
Project details
Are you struggling with messy data, slow reporting, or manual workflows?
I help businesses design and implement scalable, production-ready data engineering solutions that transform raw data into reliable insights.
With extensive experience in cloud data platforms, automation, and large-scale pipelines, I deliver solutions used by startups, SaaS companies, and enterprise teams across the US.
What I can build for you:
• Automated ETL/ELT pipelines
• Cloud-based data warehouses
• API data integrations
• Data cleaning & transformation workflows
• Scheduled reporting pipelines
• Real-time data streaming solutions
• Data lake architecture setup
• Performance optimization & monitoring
Tools & Technologies I work with:
Python • SQL • Airflow • Spark • Pandas
AWS • Azure • Google Cloud
BigQuery • Snowflake • Redshift
Docker • Kubernetes • REST APIs
I focus on scalable architecture, reliability, and cost-efficient cloud design so your data infrastructure grows with your business
I help businesses design and implement scalable, production-ready data engineering solutions that transform raw data into reliable insights.
With extensive experience in cloud data platforms, automation, and large-scale pipelines, I deliver solutions used by startups, SaaS companies, and enterprise teams across the US.
What I can build for you:
• Automated ETL/ELT pipelines
• Cloud-based data warehouses
• API data integrations
• Data cleaning & transformation workflows
• Scheduled reporting pipelines
• Real-time data streaming solutions
• Data lake architecture setup
• Performance optimization & monitoring
Tools & Technologies I work with:
Python • SQL • Airflow • Spark • Pandas
AWS • Azure • Google Cloud
BigQuery • Snowflake • Redshift
Docker • Kubernetes • REST APIs
I focus on scalable architecture, reliability, and cost-efficient cloud design so your data infrastructure grows with your business
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB, Teradata, Realm Database, Azure Cosmos DBWhat's included
| Service Tiers |
Starter
$400
|
Standard
$1,200
|
Advanced
$3,600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 1 | 1 |
Number of Tables Added | 10 | 30 | 50 |
Schema Diagram | |||
Permissions Setup | |||
Import/Export Data | - | - | |
Admin Panel Setup | - | - |
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Yunus J.
Apr 23, 2026
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Really great to work with!
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Robin E.
Jan 8, 2026
Azure Data Factory Data Migration Specialist
Muhammad was excellent to work with and has a deep knowledge of ADF. He worked independently and delivered his requirements on-time.
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Ben C.
Nov 10, 2025
Security Audit for Python App on AWS Lambda
Umer was excellent, very knowledgable and easy to work with. Helped do a security audit of our Python codebase and AWS environment for our startup app and I was really happy with his thorough results. Thanks, Umer!
MV
Mukti V.
Oct 22, 2025
Data Engineer
Working with Muhammad Umer, I found him to be exceptionally detail-oriented with a great attitude. As a strong data engineer, he dedicates significant time to thoroughly understanding the data and its underlying business context. His SQL skills are at an expert level. I highly recommend him and would gladly work with him again should the need arise
BC
Ben C.
Oct 6, 2025
Security Consultation 30min
About Muhammad Umer
Lead Data Engineer | ETL/ELT, Snowflake, Fabric, AWS, dbt & Databricks
100%
Job Success
Arlington, United States - 4:10 am local time
I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks.
My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams.
𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡
✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠
Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers.
✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture.
✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows.
✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠
Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization.
✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧
Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation.
✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞
Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers.
𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞:
𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦
Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources.
𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦
Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models.
𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤
Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase.
𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞
Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows.
𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability.
𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡
Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker.
You should reach out if you need a senior data engineer to:
✅ Build a cloud data warehouse or lakehouse
✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS
✅ Fix unreliable ETL/ELT pipelines
✅ Design dbt models and trusted reporting layers
✅ Automate manual reporting workflows
✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms
✅ Build production-ready data infrastructure for analytics and BI
If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Umer can start the project.
Delivery time starts when Muhammad Umer receives requirements from you.
Muhammad Umer works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review
First, I review your data sources, current setup, and what you want to achieve. This helps me plan the best and most reliable solution for you.
Architecture & Pipeline Design
I design the pipeline structure, storage strategy, and transformation logic tailored to your stack (cloud, database, APIs, or files). You receive a clear implementation plan before development begins.