You will get Custom ETL Pipeline with dbt & Snowflake + Power BI / Tableau Dashboard
Project details
Many businesses struggle with messy data, slow reporting, and dashboards that look good but don’t actually help in decision-making. Data often comes from multiple sources, is inconsistent, and takes too much manual effort to manage.
I focus on fixing that by building clean and reliable ETL pipelines using dbt and Snowflake and turning that data into simple, clear dashboards in Power BI or Tableau. My goal is to make your data easy to understand, accurate, and ready to use so you can focus on decisions instead of fixing reports.
I focus on fixing that by building clean and reliable ETL pipelines using dbt and Snowflake and turning that data into simple, clear dashboards in Power BI or Tableau. My goal is to make your data easy to understand, accurate, and ready to use so you can focus on decisions instead of fixing reports.
Database Type
PostgreSQLWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 7 days | 18 days | 24 days |
Number of Revisions | 1 | 2 | 3 |
Number of Tables Added | 3 | 6 | 10 |
Schema Diagram | |||
Permissions Setup | - | ||
Import/Export Data | |||
Admin Panel Setup | - | - |
Frequently asked questions
1 review
(1)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
JA
Jamal A.
Apr 23, 2026
PySpark Big Data Analysis & Machine Learning (NYC Taxi Dataset)
Great experience working with Mujtaba. He delivered both milestones on time, was thorough in his work on the PySpark Big Data project, and communicated clearly throughout. Would recommend and happy to work with him again. also he is very good at data analysis and powerbi
About Mujtaba
Data Engineer & BI Dashboard | ETL Pipelines, Python, dbt, SQL
Karachi, Pakistan - 4:45 pm local time
I have successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP.
✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔
➜ Databricks & Big Data Engineering
I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable.
➜ Machine Learning & MLOps
With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data.
➜ Cloud & Data Platforms
I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance.
➜ ETL & Data Pipelines
I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights.
➜ Data Analyst & Visualization
I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making.
➜ Snowflake
I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability.
➜ Python
My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling.
➜ NLP (Natural Language Processing)
I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes.
➜ GCP (Google Cloud Platform)
I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications.
➜ Data Warehouses
I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting.
✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔
▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming
▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP
▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD
▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy
▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization
✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆
I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth.
Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies.
Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP
less
Steps for completing your project
After purchasing the project, send requirements so Mujtaba can start the project.
Delivery time starts when Mujtaba receives requirements from you.
Mujtaba works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements
Discuss your data sources, goals, and KPIs to define the pipeline.
Data Extraction Setup
Connect to your data sources (APIs, files, databases) securely.