aws/modern-data-architecture-accelerator
May 2025 – Sep 2025
4 Months active
Languages Used
TypeScriptYAMLJSONJavaScriptPythonSQL
Technical Skills
AWSCloud EngineeringData EngineeringInfrastructure as CodeAWS BedrockAWS CDK
Shishir Jaiswal
PROFILE
Shishir Jaiswal
Worked on the aws/modern-data-architecture-accelerator repository, delivering seven features over four months focused on scalable data ingestion, secure model invocation, and flexible deployment patterns. Developed configurable database naming for Glue and Iceberg compatibility, custom Lambda-based data transformations for Bedrock Knowledge Bases, and resource-based permissions to support cross-account Lambda invocation. Enhanced security and auditability by implementing Bedrock model invocation logging to S3 and CloudWatch with KMS encryption and least-privilege IAM roles. Expanded vector database support with OpenSearch Serverless and improved SharePoint ingestion workflows. Solutions were implemented using TypeScript, AWS CDK, and Python, emphasizing Infrastructure as Code and cloud-native best practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
7
Lines of code
42,366
Activity Months4
Your Network
1621 peopleShared Repositories
10
CICDMember
Frederic BoninMember
Guoneng ZhongMember
John ReynoldsMember
Andrew PriceMember
Nidheesh PantMember
Ranjith Kurumbaru KandiyilMember
SHAKTI SINGH SHEKHAWATMember
Sudeshna DashMember
Work History
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for aws/modern-data-architecture-accelerator: Delivered secure model invocation logging and enhanced data ingestion capabilities, enabling auditable Bedrock usage and expanded OpenSearch Serverless vector storage and SharePoint ingestion options. Focus on business value, security, and scalable data processing.
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for aws/modern-data-architecture-accelerator: Delivered secure model invocation logging and enhanced data ingestion capabilities, enabling auditable Bedrock usage and expanded OpenSearch Serverless vector storage and SharePoint ingestion options. Focus on business value, security, and scalable data processing.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 — aws/modern-data-architecture-accelerator: Delivered Lambda Function Permissions Enhancement and Cross-Account Invocation. Implemented resource-based permissions in the Lambda construct, enabling grantInvoke and resource-specific permissions, resolving cross-account invocation issues for sample Lambdas. This improves deployment flexibility, security posture, and multi-account governance. Key commit: 45bbf2056a78263b1b2993e361d2bc4b70277820.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 — aws/modern-data-architecture-accelerator: Delivered Lambda Function Permissions Enhancement and Cross-Account Invocation. Implemented resource-based permissions in the Lambda construct, enabling grantInvoke and resource-specific permissions, resolving cross-account invocation issues for sample Lambdas. This improves deployment flexibility, security posture, and multi-account governance. Key commit: 45bbf2056a78263b1b2993e361d2bc4b70277820.
July 2025
3 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for aws/modern-data-architecture-accelerator: Key features shipped to enhance Bedrock data ingestion and deployment flexibility, with targeted improvements to performance and scalability. Focused on business value: customizable data transformations during ingestion, configurable Aurora Serverless vector DB sizing, and independent Lambda deployment, supported by updated docs and tests. These changes reduce integration friction, enable tailored processing pipelines, and improve deployment speed and manageability across environments.
3 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for aws/modern-data-architecture-accelerator: Key features shipped to enhance Bedrock data ingestion and deployment flexibility, with targeted improvements to performance and scalability. Focused on business value: customizable data transformations during ingestion, configurable Aurora Serverless vector DB sizing, and independent Lambda deployment, supported by updated docs and tests. These changes reduce integration friction, enable tailored processing pipelines, and improve deployment speed and manageability across environments.
July 2025
May 2025
2 Commits • 1 Features
May 1, 2025In May 2025, delivered a feature to standardize and Iceberg-compatibly name databases within the aws/modern-data-architecture-accelerator, enabling verbatim database names and automatic conversion to Iceberg-compatible identifiers, along with renaming configuration attributes for clarity. This work enhances adaptability to diverse database naming conventions, reduces configuration errors, and improves end-to-end DataOps workflow compatibility.
May 2025
2 Commits • 1 Features
May 1, 2025In May 2025, delivered a feature to standardize and Iceberg-compatibly name databases within the aws/modern-data-architecture-accelerator, enabling verbatim database names and automatic conversion to Iceberg-compatible identifiers, along with renaming configuration attributes for clarity. This work enhances adaptability to diverse database naming conventions, reduces configuration errors, and improves end-to-end DataOps workflow compatibility.
Activity
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Quality Metrics
Correctness92.4%
Maintainability91.2%
Architecture91.2%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJavaScriptPythonSQLTypeScriptYAML
Technical Skills
AWSAWS BedrockAWS CDKAWS IAMAWS KMSAWS LambdaAmazon BedrockAmazon CloudWatchAmazon S3Cloud EngineeringCloudFormationData EngineeringData IngestionDatabase ConfigurationDevOps
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline