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English
$
USD
I will create and automate etl data pipelines with python
Senior Data Analyst with 7+ years across finance, retail & construction.
I specialize in:
- BI & Reporting: Power BI, Tableau, Qlik Sense
- Data Engineering: BigQuery, PySpark, Airflow, ETL
- Advance...
About this Gig
Do you have data scattered across systems that never talks to each other? Are your reports still built manually every week?
I design and automate ETL data pipelines with Python so your data flows where it needs to go, on schedule, without manual effort.
I've built production pipelines at Carrefour (PySpark + Airflow on GCP) and Cognizant (BI pipelines for global clients). I know what breaks in real-world data and how to prevent it.
What I build
- ETL pipelines: extract from APIs, databases, Excel, CSVs
- Data transformation and cleaning with Python & Pandas
- Load to BigQuery, MySQL, Google Sheets
- Scheduled automation with Airflow
- Automated reports delivered on schedule zero manual work
Tech stack
Python · SQL · Pandas · PySpark · Apache Airflow · BigQuery
Google Cloud (GCP) · PostgreSQL · REST APIs · Excel / Google Sheets
Who this is for
Finance or ops teams drowning in manual reporting
Startups that need a data pipeline but not a full-time engineer
Companies moving from Excel to a proper data stack
Message me before ordering I'll tell you honestly if your use case fits.
My Portfolio
FAQ
What information do you need to get started?
I need to understand your data sources (where the data lives), what the output should look like, and how often it should run. A brief explanation of your current manual process is very helpful — the more context you share, the faster I can build something that actually fits.
Will the pipeline keep running after delivery, or do I need a developer to maintain it?
The pipelines I deliver are designed to run on a schedule without manual intervention. I include documentation and a walkthrough so your team can maintain and update it. For cloud-deployed solutions, I set up monitoring and alerts so you know immediately if something fails.
What data sources can you connect to?
Excel, CSV, Google Sheets, REST APIs, SQL databases (PostgreSQL, MySQL, BigQuery, SQL Server), SAP exports, and most cloud storage systems (GCP, AWS S3). If you have a specific source, message me and I'll confirm before you order.
Do you work with confidential business data?
Yes. I regularly handle sensitive financial and operational data in my corporate work. I'm comfortable signing NDAs and can work with anonymized sample data during development if needed.
