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You will get End-to-End Excel Automation for Retail Data (Cleaning, Metrics & Reports)
Project details
I will clean, process, and automate your data using Python (pandas) to transform raw datasets into accurate, structured, and insightful outputs. From handling missing values and duplicates to creating custom metrics and aggregations, I deliver reliable, reusable solutions that save time and improve decision-making.
I can comfortably process datasets up to several million rows, depending on file size and complexity. For very large datasets, I can optimize the workflow or use scalable tools if needed.
There is also the option to add basic visualizations or summary reports if required.
I can comfortably process datasets up to several million rows, depending on file size and complexity. For very large datasets, I can optimize the workflow or use scalable tools if needed.
There is also the option to add basic visualizations or summary reports if required.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 1 | 2 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $100
Additional Revision
+$40Frequently asked questions
About Marc
Data & Automation Engineer | n8n/Make/Zapier - BigQuery - Python
Ohakune, New Zealand - 9:23 pm local time
from real-time alerts to nightly sync pipelines and live dashboards.
Whether you need data flowing from an API into a warehouse, a workflow
that triggers alerts when something breaks, or a dashboard your team
actually uses, I'll build it clean, documented, and maintainable.
What I can help you with:
• API to BigQuery/Snowflake/Postgres/Oracle pipelines (Python or n8n)
• Workflow automation with n8n, Make, Zapier (alerts, syncs, scheduled reports)
• CRM integrations and syncs (HubSpot, Google Sheets, Airtable)
• dbt models for clean analytics layers
• Looker Studio, Power BI and Qlik Sense dashboards
• Scheduling with Cloud Run, Airflow or GCP Cloud Scheduler
• Stripe, Shopify and SaaS API integrations
I focus on systems that are reliable (no silent failures), scalable
(handle growing data), and maintainable (you can understand them
after I'm gone).
3+ years of experience as a Data Engineer in consulting, delivering
data infrastructure for multiple clients across different industries.
Feel free to message me to discuss yours.
Steps for completing your project
After purchasing the project, send requirements so Marc can start the project.
Delivery time starts when Marc receives requirements from you.
Marc works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
- Review your dataset and project goals - Understand business context and expected outputs - Clarify any missing details if needed
Data Exploration
- Inspect dataset structure and column types - Identify issues (missing values, duplicates, inconsistencies) - Validate primary keys and data constraints