Data Engineering
Data Engineering Services
We turn scattered, messy data into clean, reliable datasets with pipelines that scale - so your team can trust the numbers behind every decision.
Datadevco provides data engineering services to companies worldwide that have outgrown spreadsheets and manual exports. Our team works remotely from Pokhara, Nepal with clients across every time zone. We design and build the pipelines, databases and data warehouses that move data from your apps, APIs, scrapers and files into one reliable place your team can query.
Our ETL and ELT pipelines extract data from many sources, clean and transform it with Python, Pandas and SQL, and load it into PostgreSQL, MySQL or a cloud warehouse. We orchestrate jobs with Airflow or scheduled workers, add validation and alerting so bad data is caught early, and document everything so your team can own it.
On top of clean data we build reporting and analytics dashboards that answer real business questions - sales trends, inventory, operations and customer behaviour - so decisions are based on numbers you can trust.
What We Offer
- ETL / ELT pipeline design and orchestration
- Data warehouses and database design
- Batch and streaming data processing
- Data cleaning, validation and quality checks
- Analytics, reporting and BI dashboards
- Cloud deployment and pipeline monitoring
Technologies
What We Can Build For You
Centralising business data
Combine data from CRMs, e-commerce platforms, spreadsheets and APIs into one database.
Scraped data pipelines
Turn raw web scraping output into clean, de-duplicated, analysis-ready tables.
Database design & migration
Design efficient PostgreSQL or MySQL schemas and migrate legacy data safely.
Reporting & BI dashboards
Automated reports and dashboards that replace hours of manual spreadsheet work.
Data cleaning & quality
Fix duplicates, missing values and inconsistent formats with automated validation rules.
Scheduled automation
Run nightly or real-time jobs with monitoring and alerts when something fails.
Frequently Asked Questions
What does a data engineer do?
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A data engineer builds the systems that collect, store and prepare data for analysis - pipelines, databases and warehouses - so analysts and business teams get accurate data without manual work.
What is the difference between ETL and ELT?
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ETL transforms data before loading it into the destination, while ELT loads raw data first and transforms it inside the warehouse. We choose the approach that fits your data volume, tools and budget.
Which databases and tools do you work with?
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Mainly Python, SQL, Pandas, PostgreSQL, MySQL, Airflow and Docker on Linux servers or the cloud. We can also integrate with the tools you already use.
Can you work with our existing data and systems?
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Yes. Most projects start by connecting to the systems you already have and improving them step by step, rather than replacing everything at once.
How much does a data engineering project cost?
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Cost depends on the number of data sources, data volume and how often pipelines run. Share your requirements and we will send a quote within 24 hours.
Have a project in mind?
Tell us about it and we'll get back to you within 24 hours.