Solution Architect || Data || Tech Lead

Technical Skills

• Comprehensive expertise in data architecture, including data modeling, data warehousing, data governance, and data lineage. 
• Proficiency in cloud-based data platforms, with deep experience in AWS and Azure services.
• Extensive experience in distributed data processing using Apache Spark, particularly with Azure Databricks and AWS EMR.
• Hands-on experience designing and implementing ETL/ELT pipelines using:
• Azure: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics
• AWS: AWS Glue, AWS Step Functions, AWS Lambda for data transformation
• Experience in data orchestration and workflow automation using tools like Apache Airflow or cloud-native alternatives.
• Deep understanding of data security, compliance standards (GDPR,HIPAA,SOC2), and cloud-native security services, including:
• Azure: Microsoft Purview, Defender for Cloud, Azure RBAC
• AWS: AWS Macie, AWS IAM, AWS KMS
• Proficiency in data storage and management strategies, including:
• Data lakes, data lakehouses, and relational/non-relational databases (Azure Synapse, Snowflake)
• Optimization of cloud data storage (e.g., partitioning, indexing, caching)
• Experience with data analytics and visualization, ensuring seamless integration with tools like Power BI, and Tableau.
• Familiarity with architectural frameworks such as TOGAF, Zachman, or similar industry standards.
• Experience working in Agile and DevOps environments, utilizing CI/CD for data pipelines.