My Projects

A showcase of data engineering solutions, cloud architectures, and AI implementations that have driven measurable business impact

AI/MLFeatured

GenAI Data Pipeline Optimization

Developed an AI agent using AWS Bedrock agents and microservices to deliver real-time competitive intelligence in Salesforce CRM, reducing research time by 50% and enhancing AWS seller win rates.

Technologies Used:

AWS BedrockLambdaS3RedshiftPythonSalesforce
Impact:

60% efficiency improvement

Data EngineeringFeatured

Cloud Data Lake Modernization

Architected end-to-end analytics solutions with real-time/streaming data pipelines using EventBridge, Lambda, Kinesis Firehose, and Glue for partitioned S3 data lake with Lake Formation governance.

Technologies Used:

AWS S3GlueAthenaQuickSightPythonLake Formation
Impact:

Legacy to scalable data lake transformation

AnalyticsFeatured

Enterprise Analytics Dashboard

Led Amazon QuickSight administration for enterprise analytics, created 50+ complex SQL datasets and 30+ interactive dashboards with star schemas in AWS Redshift.

Technologies Used:

AWS QuickSightRedshiftSQLTableau
Impact:

40% faster query performance

Data Engineering

Real-time Streaming Analytics Platform

Built a comprehensive streaming analytics platform using Kinesis Data Streams, Lambda, and DynamoDB for processing millions of events per day with sub-second latency.

Technologies Used:

KinesisLambdaDynamoDBCloudWatchPython
Impact:

Sub-second latency for real-time insights

Data Engineering

Automated Data Quality Framework

Developed a comprehensive data quality monitoring system using AWS Glue DataBrew and custom Python validators to ensure 99.9% data accuracy across enterprise datasets.

Technologies Used:

AWS GlueDataBrewPythonCloudWatchSNS
Impact:

99.9% data accuracy improvement

Cloud Architecture

Multi-Cloud Cost Optimization Tool

Created an intelligent cost optimization tool that analyzes usage patterns across AWS services and provides automated recommendations, resulting in 30% cost reduction.

Technologies Used:

AWS Cost Explorer APIPythonTableauLambda
Impact:

30% cost reduction achieved

AI/ML

Customer Sentiment Analysis Pipeline

Implemented an end-to-end sentiment analysis pipeline processing customer feedback from multiple channels using AWS Comprehend and custom ML models.

Technologies Used:

AWS ComprehendSageMakerPythonElasticsearch
Impact:

Real-time customer sentiment insights

Data Engineering

Enterprise Data Catalog System

Built a comprehensive data catalog using AWS Glue Data Catalog and custom metadata management tools to improve data discovery and governance across the organization.

Technologies Used:

AWS GlueElasticsearchReactPythonGraphQL
Impact:

Improved data discovery by 70%

Technologies & Tools

Core technologies and tools used across my projects

Cloud Platforms

AWSBedrockRedshiftS3LambdaGlueQuickSight

Programming

PythonSQLTypeScriptGraphQLRScala

Analytics & AI

TableauGenAILLMsRAGSageMakerComprehend

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