Contact DeTLeng

Contact DeTLeng

Let's discuss your project and explore how better data can drive better business decisions.

Need a Data Solution?

If your organization is struggling with manual reporting, disconnected data sources, unreliable dashboards, or limited visibility into business performance, DeTLeng can help.

We work with businesses that want to improve reporting, automate processes, centralize data, and build reliable analytics solutions that support smarter decision-making.

How We Can Help

DeTLeng provides professional consulting and implementation services across:

  • ETL & ELT Pipeline Development
  • Power BI Dashboard Development
  • BigQuery Solutions
  • Data Cleaning & Transformation
  • Business Intelligence Reporting
  • KPI & Performance Dashboards
  • Reporting Automation
  • SQL Development & Optimization
  • Analytics Engineering
  • Data Quality Assessment

Whether you need a one-time solution or ongoing support, our focus is delivering practical results that create measurable business value.

Request a Project Consultation

To discuss your project, simply contact us by email with a brief description of your requirements.

The more information you provide, the faster we can understand your objectives and recommend an appropriate solution.

Typical project requests include:

  • Power BI Reporting Projects
  • BigQuery Implementations
  • ETL Automation
  • Dashboard Development
  • Data Migration Projects
  • Reporting Modernization
  • Business Intelligence Solutions
  • Data Quality Improvements

Email Contact

Email: info@detleng.com

Email is the preferred communication channel for all project inquiries, consulting requests, and business discussions.

Our Process

Every successful project starts with understanding the business problem.

Our typical engagement process follows four simple steps:

1. Discovery

We learn about your business objectives, reporting challenges, data sources, and project requirements.

2. Assessment

We evaluate your current environment and identify opportunities for improvement.

3. Solution Design

We propose a practical approach tailored to your business needs.

4. Delivery

We implement the solution, provide documentation, and help ensure long-term success.

Why Work With DeTLeng?

  • Business-Focused Data Solutions
  • End-to-End Project Delivery
  • Modern Cloud Analytics Expertise
  • Clear Communication
  • Reliable Documentation
  • Practical, Scalable Solutions
  • Based in Barcelona, Serving Clients Globally

Let's Talk About Your Project

Whether you need a Power BI dashboard, BigQuery implementation, ETL pipeline, reporting automation, or a complete analytics solution, DeTLeng is ready to help.

Contact us today and let's explore how your data can become a strategic business asset.

DeTLeng
Data Engineering & Analytics Solutions
Transforming Data Into Business Value

Popular posts from this blog

Production ETL Pipeline Execution Overview

Image
🚀 Building a Production-Style ETL / ELT Pipeline on Google Cloud A practical engineering walkthrough of designing modern data pipelines using BigQuery, SQL transformations, incremental loading, and production-oriented cloud architecture. Recently, I explored how modern ETL / ELT workflows are designed professionally inside real-world analytics environments using Google Cloud technologies. Instead of focusing only on theoretical concepts, the goal was to understand how raw operational data becomes clean, analytics-ready business data through structured engineering practices. 📘 ETL / ELT Pipeline Overview The pipeline was designed to simulate a production-style analytics workflow where raw business data flows through multiple engineering layers before becoming usable for reporting and decision-making. Dataset / API ↓ Python Extraction Script ↓ Ra...
Read more

Choosing the Right Dataset for a Realistic ETL / ELT Pipeline Project

Image
📊 Choosing the Right Dataset for a Realistic ETL / ELT Pipeline Project Understanding why dataset selection matters in modern cloud data engineering workflows. While exploring Google Cloud Data Engineering workflows, one thing became very clear: a strong ETL / ELT project does not begin with SQL queries or dashboards. It starts with choosing the right dataset. For practical engineering simulations, portfolio development, and production-style pipeline learning, an E-commerce / Online Retail dataset proved to be one of the most effective choices because it naturally contains the kinds of operational problems real data engineers solve daily. 🛒 Example Dataset Structure Typical business columns explored inside the retail dataset included: order_id customer_id product_id category quantity price payment_method order_status city order_timestamp This structure allows realistic simulation of modern engineering workflows used inside analytics syste...
Read more

🔍 Power BI Retail ETL Part 4 | Investigating Data Quality Issues in Online Retail Data

Image
🚀 Power BI Retail ETL Project Part 4 🔍 Investigating Real-World Data Quality Issues in the Online Retail II Dataset Welcome back to the Retail ETL Pipeline Series . In Part 1, we imported the Online Retail II dataset into Power BI. In Part 2, we combined both yearly datasets into a unified staging layer. In Part 3, we performed data profiling to understand the overall health of the dataset. Now comes one of the most important responsibilities of every Data Engineer: 💡 Data Quality Assessment Before building dashboards, KPIs, reports, or business analytics, we must understand the quality of the data itself. Professional Data Engineers never assume data is correct. They investigate. They validate. They challenge assumptions. That is exactly what we did in this phase of the project. 📊 What We Discovered During Data Profiling After combining both years of retail data, our staging layer contained: ✅ More than 1 Million Transaction Records ✅ Multipl...
Read more