You will get ETL pipelines using Databricks, SQL and Apache Spark


Project details
I will perform big data analysis, ETL processing, and data transformation using Databricks, Apache Spark, SQL, and Python. I can help clean, process, merge, and analyse large datasets to uncover trends, insights, and performance patterns.
My services include data preprocessing, Spark transformations, SQL analytics, ETL workflows, exploratory data analysis, and dashboard-ready dataset preparation. I focus on delivering scalable, accurate, and well-structured data solutions for analytics and reporting projects.
My services include data preprocessing, Spark transformations, SQL analytics, ETL workflows, exploratory data analysis, and dashboard-ready dataset preparation. I focus on delivering scalable, accurate, and well-structured data solutions for analytics and reporting projects.
Data Tool
SQLWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 0 | 3 | 4 |
Source Code | - | - | - |
About Sara
Data Analyst | Python | SQL | BigQuery | Dashboards
Falkirk, United Kingdom - 1:38 am local time
I help businesses clean, analyse, and visualise data to turn raw information into meaningful insights and professional reports.
My services include:
• Data cleaning and formatting
• SQL queries and database analysis
• Dashboard creation
• Data visualisation and reporting
• BigQuery data analysis
• Business insights and KPI reporting
I have worked on real-world analytical projects involving large datasets, ETL workflows, dashboard development, and predictive analytics.
I focus on delivering accurate work, clear communication, and business-focused solutions that help clients make informed decisions.
Steps for completing your project
After purchasing the project, send requirements so Sara can start the project.
Delivery time starts when Sara receives requirements from you.
Sara works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Planning
Review datasets, project goals, ETL requirements, and processing workflow.
Data Cleaning & Spark Processing
Perform data cleaning, Spark transformations, preprocessing, and SQL analysis.