You will get a gcp data engineer for etl pipeline, bigquery, cloud run, airflow, dbt
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Project details
Are you looking for a Google Cloud Platform (GCP) expert to handle your ETL, BigQuery, and API data extraction? Youre in the right place!
I specialize in data engineering, ETL pipelines, API integration, and BigQuery optimization to help you process, store, and analyze data efficiently.
My Services:
• ETL Pipelines Extract, transform, and load data from multiple sources
• BigQuery Setup & Optimization Query large datasets with speed
• API Data Extraction Pull data from REST, SOAP, and third-party APIs
• Cloud Functions & Automation Automate workflows with Python, SQL, and GCP tools
• Data Cleaning & Processing Prepare data for analytics and reporting
• Data Warehouse Design Build scalable cloud-based solutions
Why Choose Me?
• GCP Certified & Experienced
• Fast & Efficient Data Processing
• Custom Solutions Tailored to Your Needs
• On-Time Delivery & Clear Communication
Lets turn your data into powerful insights. Order now or message me to discuss your project!
I specialize in data engineering, ETL pipelines, API integration, and BigQuery optimization to help you process, store, and analyze data efficiently.
My Services:
• ETL Pipelines Extract, transform, and load data from multiple sources
• BigQuery Setup & Optimization Query large datasets with speed
• API Data Extraction Pull data from REST, SOAP, and third-party APIs
• Cloud Functions & Automation Automate workflows with Python, SQL, and GCP tools
• Data Cleaning & Processing Prepare data for analytics and reporting
• Data Warehouse Design Build scalable cloud-based solutions
Why Choose Me?
• GCP Certified & Experienced
• Fast & Efficient Data Processing
• Custom Solutions Tailored to Your Needs
• On-Time Delivery & Clear Communication
Lets turn your data into powerful insights. Order now or message me to discuss your project!
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB, Couchbase, Teradata, Realm Database, Azure Cosmos DB, LevelDBWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 2 | 4 |
Source Code |
31 reviews
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ZH
Zenobia H.
Apr 17, 2026
ETL: Job Data Ingestion & Simple BI Reporting
RJ
Rubesh J.
Feb 20, 2026
Data Engineer – Corporate Hierarchy Mapping for CRM Integration
Danish is an extremely competent data engineer. He was very thoughtful and devised clever approaches to deliver on the project. He is also a good human being and a pleasure to work with. I recommend him 100%. We will work together again!
TM
Trace M.
Feb 12, 2026
Data Engineering Project: API to Big Query
RK
Rakesh K.
Oct 28, 2025
Sr analyst
EC
Emiliano C.
Oct 26, 2025
Build ERCOT API → AWS S3 Data Pipeline (Real-Time + Historical Backfill)
Working with Danish was an outstanding experience from start to finish. I hired him to develop a complete machine learning data pipeline, and he far exceeded my expectations in every area, technical skill, professionalism, and communication.
From the beginning, Danish demonstrated deep expertise in data engineering and machine learning workflows. He didn’t just execute tasks; he thoughtfully analyzed the problem, made intelligent recommendations, and helped design an architecture that was both scalable and maintainable. His input added immense value to the project. He clearly knows what works in production environments and isn’t afraid to suggest smarter approaches when he sees opportunities for improvement.
One of Danish’s strongest qualities is his availability and communication. He was consistently responsive, proactive with updates, and made sure I was informed at every step of the process. Whether it was progress reports, quick clarifications, or detailed technical walkthroughs, he always communicated with clarity and professionalism.
He also went above and beyond to ensure everything was delivered perfectly. Danish not only met every deadline but also took extra time to refine the details, test thoroughly, and deliver high-quality results. His documentation was exceptionally clear and thorough and contained thorough explanations of every component of the pipeline, its logic, dependencies, and how to extend it in the future. This level of transparency and care made handoff incredibly smooth and ensured I could easily build upon his work later on.
Another standout trait is his commitment to excellence. Danish genuinely cares about the quality of his work and takes pride in delivering solutions that last. He continually asked smart questions, anticipated potential issues before they became problems, and implemented best practices across the board from version control and code structure to data validation and automation.
In short, Danish is one of those rare freelancers who combines technical mastery with outstanding professionalism. He’s dependable, communicative, detail-oriented, and genuinely invested in the success of the project. I can confidently recommend him to anyone looking for a top-tier engineer who delivers on time, communicates clearly, and goes the extra mile to produce excellent work.
I look forward to working with him again in the future. It’s been a real pleasure collaborating with someone of his caliber
From the beginning, Danish demonstrated deep expertise in data engineering and machine learning workflows. He didn’t just execute tasks; he thoughtfully analyzed the problem, made intelligent recommendations, and helped design an architecture that was both scalable and maintainable. His input added immense value to the project. He clearly knows what works in production environments and isn’t afraid to suggest smarter approaches when he sees opportunities for improvement.
One of Danish’s strongest qualities is his availability and communication. He was consistently responsive, proactive with updates, and made sure I was informed at every step of the process. Whether it was progress reports, quick clarifications, or detailed technical walkthroughs, he always communicated with clarity and professionalism.
He also went above and beyond to ensure everything was delivered perfectly. Danish not only met every deadline but also took extra time to refine the details, test thoroughly, and deliver high-quality results. His documentation was exceptionally clear and thorough and contained thorough explanations of every component of the pipeline, its logic, dependencies, and how to extend it in the future. This level of transparency and care made handoff incredibly smooth and ensured I could easily build upon his work later on.
Another standout trait is his commitment to excellence. Danish genuinely cares about the quality of his work and takes pride in delivering solutions that last. He continually asked smart questions, anticipated potential issues before they became problems, and implemented best practices across the board from version control and code structure to data validation and automation.
In short, Danish is one of those rare freelancers who combines technical mastery with outstanding professionalism. He’s dependable, communicative, detail-oriented, and genuinely invested in the success of the project. I can confidently recommend him to anyone looking for a top-tier engineer who delivers on time, communicates clearly, and goes the extra mile to produce excellent work.
I look forward to working with him again in the future. It’s been a real pleasure collaborating with someone of his caliber
About Danish
BigQuery & ETL data pipelines that actually get used | Airflow, dbt
100%
Job Success
Mithi, Pakistan - 4:41 pm local time
That's the work I do: build data pipelines and warehouses people actually rely on, and fix the ones that quietly stopped working.
Over the last 3 years I've delivered 55+ data projects across finance, healthcare, energy, and e-commerce, from one-off ETL jobs to platforms processing billions of records a day. I work GCP-first (BigQuery, Airflow, dbt, Dataflow), and I'm comfortable across AWS, Postgres, and the messy real-world stack most teams actually have.
What I build:
- End-to-end ETL/ELT pipelines in Python, SQL, Airflow, and dbt
- BigQuery / Snowflake / Redshift warehouses and data models that stay clean as they grow
- Migrations off legacy jobs and on-prem databases — without losing data in the move
- Metabase, Looker Studio, and Power BI dashboards your team will actually open
- Query and cost optimization when your warehouse bill stops making sense
- API integrations with proper logging, retries, and checkpoints, so failures are visible instead of silent
You probably need me if:
- Your pipelines break and you hear it from a stakeholder, not an alert
- Reports run slow, cost too much, or quietly disagree with each other
- A previous developer left and nobody fully understands the setup anymore
- You're scaling fast and the current data stack is starting to crack
A few real results:
- Architected pipelines processing 5B+ records daily at 99% reliability
- Cut a client's warehouse costs ~50% by migrating legacy jobs to BigQuery
- 4× throughput and 70% faster ingestion on an API pipeline pulling 2K+ domains a day
- 40% faster pipeline runs through Airflow optimization
How I work: a clear yes/no on feasibility before you commit, regular updates, and no disappearing mid-project. Most clients come back — usually because fixing one thing surfaces the next.
If that sounds like your situation, send a short note on what's breaking or what you're trying to build, and I'll tell you straight what it'll take.
Steps for completing your project
After purchasing the project, send requirements so Danish can start the project.
Delivery time starts when Danish receives requirements from you.
Danish works on your project following the steps below.
Revisions may occur after the delivery date.
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