[Your Name][Your City, State, Zip Code] | [Your Phone Number] | [Your Email Address] | [Your LinkedIn Profile]

Summary

Highly skilled Azure Databricks professional with [Number] years of experience designing, developing, and maintaining efficient data pipelines and processing solutions. Proven expertise in leveraging Databricks’ capabilities for large-scale data processing, analytics, and machine learning.

Technical Skills

• Cloud Platforms: Azure (Databricks, Data Factory, Data Lake Storage, Synapse Analytics), AWS (S3, EMR)
• Data Processing: Databricks (PySpark, Spark SQL), Apache Spark, Hadoop
• Programming Languages: Python, SQL, Scala
• Data Engineering Tools: Delta Lake, Azure Data Factory, Apache Airflow
• Machine Learning: Databricks MLflow, Scikit-learn
• Other: Git, CI/CD

Professional Experience

[Your Job Title][Company Name][City, State] [Start Date] – [End Date]

• She led the design and implementation of a scalable data lakehouse on Azure Databricks, optimizing data ingestion, processing, and analysis for improved business insights.
• Developed and maintained efficient data pipelines using PySpark and Spark SQL for extracting, transforming, and loading (ETL) data from diverse sources.
• We implemented Delta Lake for ACID transactions and data versioning, ensuring data quality and reliability.
• It was built and deployed machine learning models on Databricks using MLflow for experiment tracking, model management, and deployment.
• They collaborated with data scientists and analysts to build interactive dashboards and visualizations on Databricks for data exploration and analysis.

[Your Previous Job Title][Previous Company Name][City, State] [Start Date] – [End Date]

• [List relevant accomplishments and responsibilities demonstrating your Azure Databricks experience]

Education

[Your Degree][University Name][City, State] [Graduation Year]

Certifications (Optional)

• [List any relevant certifications, such as Azure Data Engineer Associate]

Projects (Optional)

• [Include any personal or professional projects showcasing your Azure Databricks skills]

Key Accomplishments

• It reduced data processing time by [Percentage] by optimizing Databricks workflows and resource utilization.
• We have improved data quality by [Percentage] by implementing robust data validation and cleaning processes.
• We have successfully migrated legacy data infrastructure to Azure Databricks, improving scalability and cost savings.

Additional Tips:

• Tailor your resume to the job you’re applying for, highlighting the most relevant skills and experiences.
• Quantify your accomplishments using metrics to showcase your impact.
• Include keywords from the job description to get past Applicant Tracking Systems (ATS).