Kunj Patel
Data Engineer @Hippoc
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WORK HISTORY
Data Engineer @Hippoc
Montreal, QC, CA
EDUCATION
G H Patel College of Engineering & Technology
Bachelor of Engineering - BE
Dalhousie University
Master of Applied Computer Science
ABOUT KUNJ PATEL
As a result-driven Data Engineer and Developer, I specialize in designing and implementing ETL/ELT pipelines and optimizing database schema and SQL queries for improved query performance. With expertise in Airflow, DBT, and Snowflake, I have a proven track record of processing millions of records in real-time while ensuring data accuracy and quality. I am skilled in programming languages such as Python, Java, and SQL, and have extensive experience working with cloud technologies such as AWS and Google Cloud. With a commitment to agile development methodologies and strong problem-solving skills, I am dedicated to delivering high-quality solutions that meet business needs. Skills • Data Warehousing: Proficiency in building and managing large-scale data warehouses to store and manage data. • ETL (Extract, Transform, Load) Tools: Experience with tools like Apache Airflow, dbt, or Stitch for data integration. • Cloud Technologies: Familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform (GCP) • Database Management: Expertise in SQL and NoSQL databases like MySQL, PostgreSQL, Snowflake, and MongoDB • Big Data Processing Frameworks: Knowledge of Hadoop and Spark to handle large data volumes. • Data Modeling: Ability to design and create data models for data storage and processing. • Data Architecture: Understanding of data architecture principles and best practices. • Scripting Languages: Familiarity with scripting languages like Python and Bash for data automation and processing. • Agile Development: Experience working in an Agile development environment and understanding of Agile methodologies like Scrum and Kanban. • Continuous Integration/Continuous Delivery (CI/CD): Familiarity with tools like Jenkins, GitLab, Buildkite for automating build, testing, and deployment pipelines. • Version Control: Proficiency in version control tools like Git for source code management. • Containerization: Familiarity with containerization tools and platforms like Docker and Kubernetes for building, shipping, and running applications in containers.
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