You will get ETL Pipeline with Databricks and PySpark
Project details
š Enhance Your Business with Scalable ETL Pipelines Using Databricks and PySpark
As a skilled Data Engineer specializing in Databricks and PySpark, I deliver scalable ETL pipeline solutions to transform your data workflows. My expertise in big data technologies, cloud platforms (AWS, Azure), and performance optimization ensures efficient and reliable results.
š¼ My Expertise:
š ļø Custom ETL Pipeline Development:
Designing and building robust ETL pipelines using Databricks and Spark.
Integrating data from diverse sources like AWS, Azure, and Hadoop.
Optimizing large-scale data workflows for enhanced performance.
š Data Engineering Excellence:
I create high-performance data pipelines that streamline your business processes and enable data-driven decisions.
With my expertise, your business can handle large datasets smoothly, accelerate analytics, and harness the full potential of your data.
šØāš» About Me:
Senior AI Engineer & Data Engineer with 12+ years of experience, including work with Fortune 500 companies like GE and J&J. Proficient in building scalable ETL pipelines, big data processing, and cloud solutions on AWS and Azure.
As a skilled Data Engineer specializing in Databricks and PySpark, I deliver scalable ETL pipeline solutions to transform your data workflows. My expertise in big data technologies, cloud platforms (AWS, Azure), and performance optimization ensures efficient and reliable results.
š¼ My Expertise:
š ļø Custom ETL Pipeline Development:
Designing and building robust ETL pipelines using Databricks and Spark.
Integrating data from diverse sources like AWS, Azure, and Hadoop.
Optimizing large-scale data workflows for enhanced performance.
š Data Engineering Excellence:
I create high-performance data pipelines that streamline your business processes and enable data-driven decisions.
With my expertise, your business can handle large datasets smoothly, accelerate analytics, and harness the full potential of your data.
šØāš» About Me:
Senior AI Engineer & Data Engineer with 12+ years of experience, including work with Fortune 500 companies like GE and J&J. Proficient in building scalable ETL pipelines, big data processing, and cloud solutions on AWS and Azure.
What's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 3 | 6 |
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About Francisco
Data Engineer & Data Science Expert
67%
Job Success
Recife, BrazilĀ - 2:49 am local time
I bring a wealth of expertise in designing, building, and optimizing data infrastructures. I specialize in developing machine learning models and working with large language models (LLMs) to empower organizations to make data-driven decisions.
Core Competencies:
ā¢ Data Pipeline Development: Expertise in building robust ETL/ELT processes using tools like Apache Airflow, NiFi, and custom scripting.
ā¢ Machine Learning & AI: Skilled in developing and deploying machine learning models using TensorFlow, PyTorch, and scikit-learn for predictive analytics, classification, and clustering.
ā¢ Large Language Models (LLMs): Proficient in leveraging models like GPT-3 and BERT for natural language processing tasks such as text generation, summarization, and sentiment analysis.
ā¢ Big Data Technologies: Proficient in Hadoop, Spark, Kafka, and Hive for large-scale data processing and real-time analytics.
ā¢ Cloud Platforms: Skilled in AWS (Redshift, S3, EMR, SageMaker), Azure (Data Factory, Synapse, Machine Learning), and Google Cloud (BigQuery, Dataflow, AI Platform).
ā¢ Database Management: Extensive experience with SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Cassandra.
ā¢ Programming Languages: Proficient in Python, Java, Scala, and R for data manipulation, machine learning, and automation.
ā¢ Data Warehousing: Designing and implementing data warehouses and data lakes to support BI, analytics, and AI workloads.
ā¢ Data Modeling: Strong skills in dimensional modeling and schema design to optimize performance.
ā¢ DevOps Practices: Familiar with CI/CD pipelines, Docker, Kubernetes, and version control systems like Git.
Steps for completing your project
After purchasing the project, send requirements so Francisco can start the project.
Delivery time starts when Francisco receives requirements from you.
Francisco works on your project following the steps below.
Revisions may occur after the delivery date.
Review
I will analyze your project needs and collaborate with you to understand your data sources, pipeline objectives, and unique requirements. Essential inputs include access credentials, dataset specifications, and preferred platforms (e.g., AWS, Azure).
Design
I will craft a custom ETL pipeline architecture aligned with your requirements. This involves detailing data extraction techniques, designing transformation workflows, and outlining loading strategies for seamless data integration.