Big Data Developer, Data Engineer, Azure Data Engineer, Spark Application Developer
Summary
Proven data professional with 7 years of diverse experience in designing, deploying, and managing data initiatives. Skilled in Azure services, including Azure Data Factory, Blob Storage, Databricks, and more. Proficient in Kubernetes, Cloudera, and Spark, leveraging RDDs, Dataframes, and Datasets for efficient data transformation. Expertise in Hadoop components (HDFS, Sqoop, Oozie, Hive, Kafka) and SQL, with a focus on optimizing Spark application performance. Strong background in Azure services, Tableau reporting, and source control management (Git, Bitbucket, SVN). Excels in automating processes using Unix shell scripts and orchestrating workflows with tools like Control-M and Autosys. Demonstrated proficiency in Snowflake, ALM, and JIRA Dashboard. Adept at collaborating across departments to deliver impactful analytical solutions.
Accomplished data professional with a robust skill set, backed by certifications:
Databricks Certified Associate Developer for Apache Spark 3.0, demonstrating proficiency in advanced Spark development.
Academy Accreditation in Databricks Lakehouse Fundamentals, showcasing comprehensive knowledge in the evolving field of data engineering.
Hands-on Essentials Data Warehouse certification by Snowflake, highlighting practical expertise in utilizing Snowflake for data management.
Python 101 for Data Science certification by Cognitive.AI powered by IBM Developer Skills Network, signifying mastery in Python for data-related tasks.
Data Visualization in Tableau certification issued by Great Learning, illustrating competence in creating impactful visualizations using Tableau. These certifications underscore a well-rounded and continually evolving skill set in the dynamic field of data science.
Expectations
Job in which I get a chance to leverage my skills and opportunity to explore different people to work for the common goal as a team.
Interested to work on different technologies and challenge myself to solve the complex problems.
Employment Preferences
Expected Base Salary
**5,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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