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You will get API, BigQuery, Snowflake, Redshift data warehouse automation and extraction

Danish V.Status: Offline
Danish V. Danish V.
4.8
Top Rated
Preview image

Let a pro handle the details

Buy Other Databases services from Danish, priced and ready to go.
Danish V.Status: Offline
Danish V. Danish V.
4.8
Top Rated
Preview image

Let a pro handle the details

Buy Other Databases services from Danish, priced and ready to go.

Project details

Most data problems show up the same way. A spreadsheet someone updates by hand every week, an API nobody's pulling from automatically, or a warehouse that's slow, bloated, or full of numbers nobody trusts.

I extract data from your APIs, build and automate the pipelines that move it, and set up or fix your BigQuery, Snowflake, or Redshift warehouse so it stays fast and cheap as it grows.

I can help with:
Automate manual data pulls from your tools or APIs
Fix or rebuild pipelines that are slow, costly, or unreliable
Production-grade BigQuery / Snowflake / Redshift ETL and ELT
High-performance SQL and query optimization
Clean analytics data models for BI and reporting
Automated ingestion from Cloud Storage, APIs, and third-party apps

Recent result: cut a client's warehouse costs by ~50% through a legacy migration.

Tell me what's manual or what feels off, and I'll give you a straight read on what it'll take to fix it.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB, Couchbase, Teradata, Realm Database, Azure Cosmos DB, LevelDB
What's included
Service Tiers Starter
$150
Standard
$350
Advanced
$800
Delivery Time 5 days 10 days 20 days
Number of Revisions
234
Source Code
4.8
32 reviews
84% Complete
(27)
13% Complete
(4)
1% Complete
(0)
3% Complete
(1)
1% Complete
(0)

BS

Bazz S.
5.00
Aug 9, 2026
KDB+/q license issue Danish did the job successfully in a very short time. thanks. strongly recommend him.

ZH

Zenobia H.
4.00
Apr 17, 2026
ETL: Job Data Ingestion & Simple BI Reporting

RJ

Rubesh J.
5.00
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.
5.00
Feb 12, 2026
Data Engineering Project: API to Big Query

RK

Rakesh K.
5.00
Oct 28, 2025
Sr analyst
Danish V.Status: Offline

About Danish

Danish V.Status: Offline
Data Engineer | BigQuery Data Warehouse, SQL, Postgres, Metabase, APIs
100% Job Success
4.8  (32 reviews)
Mithi, Pakistan - 7:26 am local time
Most data problems show up the same way, whether it's a spreadsheet someone updates by hand every week or a pipeline that's quietly started giving numbers nobody trusts. I build and fix ETL pipelines, warehouses, and API integrations on GCP and AWS, from replacing manual copy-paste with automated pulls to cutting a client's warehouse costs by ~50%.

Tell me what's manual or what feels off, and I'll give you a straight read on what it'll take to fix it.

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.

Project Discuss

Requirements

Review the work, release payment, and leave feedback to Danish.