Data Analytics
Extracting actionable insights from large datasets to inform decision-making, optimize processes, and drive business growth
DATA FLOW
Develop data processing pipelines using PySpark within Amazon EMR clusters, supporting both batch and streaming processing.
DATA LAKE
Design a data lake architecture using AWS services like Glue, S3, and Lake Formation for scalable and cost-effective storage and processing.
DATA QUALITY & STEWARDSHIP
Implement data quality checks using Glue DataBrew or custom frameworks to ensure data completeness , accuracy and consistency.
DISCOVERY & GOVERNANCE
Implement AWS Glue for metadata management, enabling automatic extraction and organization of metadata from various data source.
RELEASE & VERSIONING
Utilize source control (e.g., Git, Bitbucket) to manage code versions and releases of data pipelines and analytics scripts.
DATA MINING & REPORTING
Utilize Amazon Redshift for OLAP-based data marts and data warehousing, providing fast query performance for analytics and reporting.
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SECURITY
AWS Cognito, Google Auth and JWT Javascript Web Tokens, SAML, LDAP.
AI / ML
Leveraging Jupyter notebooks on Amazon EMR for exploratory data analysis (EDA) and model prototyping, integrating with Glue for data preparation tasks.
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