Remote worker with 7+ years of experience - Last seen 1 year ago

➢Data Engineer with 4+ years of experience in data analysis, proficient in leveraging Azure cloud services and Power BI to create robust data solutions and insightful visualizations.
➢Ingeniously harnessing Azure Data Factory's seamless integration with Azure Data Explorer, enabling real-time data ingestion and analysis with precision
➢Setting up and managing data integration with other Azure services, such as Azure Data Factory and Azure Synapse Analytics.
➢Integrating Power BI with other Microsoft products such as Excel, SharePoint, and Teams to enable seamless data sharing and collaboration.
➢Conducted feature selection using techniques like recursive feature elimination or LASSO regression to identify the most informative variables for modeling during data analysis.
➢Participate in code reviews, adhering to SSIS coding standards and best practices, ensuring code quality.
➢Design and implement data archiving solutions on AWS Glue to ensure long-term retention and storage of historical data.
➢Develop and maintain data lineage documentation for Redshift data pipelines.
➢Designed and implemented data replication strategies for disaster recovery and business continuity.
➢Developing data models and relationships in Power BI to ensure accurate and efficient data analysis.
➢Implementing MongoDB database migration strategies for upgrading or migrating data.
➢Experience with data governance frameworks and processes for ensuring data quality, security, and compliance with regulatory requirements during data analysis.
➢Developed serverless applications using AWS Lambda functions, API Gateway, and DynamoDB, leveraging the benefits of event-driven architecture and pay-as-you-go pricing model.
➢Designing and implementing data warehouses and data marts.
➢Implemented data governance tools such as Collibra or Informatica Axon to facilitate metadata management and data lineage tracking.
➢Strong understanding of cloud computing platforms like AWS, Azure, and Google Cloud Platform for scalable and cost-effective data analysis, ensuring efficient resource utilization and management.
➢Develop and maintain ETL (extract, transform, load) processes to populate the data warehouse with data from various sources
➢Designing and implementing database migration strategies for PostgreSQL databases.
➢Integrating Azure services with on-premises systems and establishing secure hybrid cloud connectivity.
➢Collaborating with data scientists to integrate recommendation systems and personalization features within Power BI and MSBI solutions.
➢Implementing and enforcing data governance processes and policies in Azure Data Lake, promoting data consistency and compliance
➢Designed and executed SQL scripts for database schema migration and version control
➢Expertly managing data sources in SSRS, effortlessly establishing connections to diverse data repositories, ensuring seamless data retrieval for reports.
➢Designed and implemented data anonymization procedures to anonymize personally identifiable information (PII) in compliance with privacy regulations.

🛂 Nationality	🇮🇳 India
🏡 Residency	🇮🇳 India
📍 Location	🇨🇦 Canada
Remote OK	rok.co/@rohithkumar98
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Skilled in	azure data factory azure databricks azure data lake azure data engineer aws data engineer powerbi sql pyspark python
Fluent in	englishteluguhindi
Preferred annual pay (min)	$70,000/year
Preferred hourly pay (min)	$45/hour
Last seen	1 year ago
Signed up	1 year ago
Badges	🎖 Early adopter