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You will get a Perfectly Cleaned Data Table
Top Rated
Project details
Data cleaning includes removing duplicates, fixing formats, normalizing text, correcting data types, and handling missing values. I will standardize dates, numbers, currencies, and categories; detect outliers and inconsistencies; split or combine columns; clean text via regex, case, and punctuation fixes. I validate totals, ensure referential integrity, flag anomalies, and deliver a ready-to-use dataset programmatically (Python/SQL/Power Query) and manually when needed.
Validation phase include data profiling, rule checks, outlier detection, and before/after reports
Up to 1 single table: Any number of columns, any quantity of rows.
Validation phase include data profiling, rule checks, outlier detection, and before/after reports
Up to 1 single table: Any number of columns, any quantity of rows.
Data Tool
PythonWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 1 day
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Reusable & Parametrized Script
(+ 1 Day)
+$100
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DB
David B.
Aug 3, 2026
AI Architect and systems
Working with Dylan was a pleasure, he is very independent, very organized/structureed and was able to implement several AI automations to support reporting and sales intelligence activity.
DW
David W.
Jul 20, 2026
Data Visualization Specialist
Good work, thank you
DD
Don D.
Jul 17, 2026
Zoho Analytics Dashboards
VD
Veruska D.
Jul 6, 2026
Business Intelligence & Reporting Dashboard Project
SL
Samuel L.
Jun 8, 2026
Looker Studio & Reporting Specialist
About Dylan
Senior Data Analyst & Data Engineer
100%
Job Success
Quito, Ecuador - 11:06 pm local time
𝐖𝐡𝐚𝐭 𝐓𝐡𝐢𝐬 𝐌𝐞𝐚𝐧𝐬 𝐅𝐨𝐫 𝐘𝐨𝐮
🔹 Extraction & Pipelines: APIs, web scraping, file ingestion, Stripe, Shopify, Zoho, GA4, Ads platforms, pulled, validated, and landed in your warehouse. No manual CSV drops. No broken syncs.
🔹 Modeling & Architecture: Star schemas, SCDs, fact and dimension tables, marts, catalogs, grain reconciliation. A semantic layer built for Day 2, not just Day 1.
🔹 Visualization & Design: Power BI, Looker Studio, Zoho Analytics, Superset, DOMO, Metabase. UI/UX-informed dashboards with intentional hierarchy, color theory, branding alignment, and storytelling that makes the insight obvious, not buried.
🔹 Deployment & Governance: Row-level security, role management, access control, documentation. Production-grade, not prototype-grade.
🔹 AI Layer: Conversational analytics, self-serve ad-hoc queries, proactive strategic briefings, alert systems against goals and benchmarks, pipeline and validation (Red Cell) agents. AI as infrastructure, not as demo.
𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅
🔹 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Superset, Domo
🔹 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel
🔹 Warehousing: BigQuery, Snowflake, Cloud SQL, Cloud Storage, SQL Server, MySQL, Postgress, SQL Server, Amazon Redshift, Amazon S3
🔹 Pipelines & ETL: Make, n8n, Fivetran, Apps Script, Cloud Run, Python, Supermetrics, Windsor AI, Coupler AI, Airbyte, JS
🔹 Cloud & Governance: Google Cloud Platform, AWS, Azure, Terraform, Git
🔹 AI: OpenAI & Claude APIs, agent orchestration, anomaly detection, predictive models, automated briefings & alerts
𝗧𝗵𝗲 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲
When you hire a data analyst, you get dashboards. When you hire a data engineer, you get pipelines. When you hire me, you get the system, no gaps between extraction and insight, no friction between layers, no risk of one contractor's output breaking another's input.
🔹 One point of accountability across every layer of the stack
🔹 Decisions in plain language for technical and non-technical stakeholders
🔹 Architecture built for growth, not just for the deliverable
𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦
Your business generates data. I make sure every byte of it moves, transforms, lands, and speaks, without friction, without gaps, and without you needing to manage the in-between.
Not a dashboard. Not a pipeline. A decision system.
Steps for completing your project
After purchasing the project, send requirements so Dylan can start the project.
Delivery time starts when Dylan receives requirements from you.
Dylan works on your project following the steps below.
Revisions may occur after the delivery date.
Request Confirmation
I will confirm with you the expected results and that we are on the same page.
Access & Permissions
Client grants all permissions and access needed over the target table