Asawir Jinabade

Data Engineer & AI Implementation Specialist with 3+ years of hands-on experience building scalable, low-latency data pipelines and optimizing cloud-native Snowflake data platforms within the financial services domain at Discover Financial Services. Extended expertise in Generative AI engineering using Amazon Bedrock (foundation model evaluation, Guardrails) and Amazon SageMaker (model deployment, prompt engineering).

Certified Snowflake

Developer and AWS Cloud Practitioner with a strong track record of delivering data quality, CI/CD-driven deployments, and enterprise-grade AI governance for business-critical financial workloads.

Snowflake Data Engineer at Cognizant Technology Solutions (Discover Financial Services Client) (2022-08 – Present)

Delivered near real-time data processing pipelines for Discover Financial Services' analytics platform, ingesting structured and semi-structured financial transaction data from AWS S3 into Snowflake. Performed advanced query optimization, designed advanced data models, built orchestrated near real-time pipelines, and implemented CDC Type 2 for regulatory compliance.

• Delivered near real-time data processing pipelines for Discover Financial Services' analytics platform, ingesting structured and semi-structured financial transaction data from AWS S3 into Snowflake, improving ingestion efficiency by 30%.
• Performed advanced Snowflake query optimization — clustering keys, micro-partition pruning, and result caching — reducing average query execution time by 40% across high-frequency financial reporting and analytics workloads.
• Designed and implemented advanced data models (Star Schema, Snowflake Schema, SCD Type 2) to serve Discover's analytics, reporting, and machine learning pipelines across Finance, Product, and Marketing divisions.
• Built and orchestrated near real-time pipelines using Apache Airflow DAGs and Snowpipe event-driven ingestion, replacing manual batch loads with automated, low-latency financial data workflows.
• Implemented CDC Type 2 using Snowflake Streams to track historical changes across financial datasets, maintaining complete audit history and data lineage for regulatory compliance.
• Leveraged Snowflake Time Travel and Zero-Copy Cloning for data recovery, test environment provisioning, and pipeline validation — ensuring zero production data loss incidents.
• Developed Python-based AWS Lambda functions for event-driven financial data transformation and for automated ELT, integrating AWS S3 data lake with RDS Aurora source systems.
• Established CI/CD pipelines using Git and GitHub Actions for automated, version-controlled deployment of Snowflake stored procedures, Airflow DAGs, and data workflow changes across dev, staging, and production.
• Monitored data quality, pipeline health, and data lineage across Discover's financial data platform, proactively resolving ingestion failures to maintain SLA-compliant data delivery to downstream analytics consumers.

AI Implementation & Generative AI Engineering at Cognizant Technology Solutions (2022-08 – Present)

Extended AWS AI engagement involving model evaluation and optimization using Amazon Bedrock, architectural integration with EC2, scalable model deployment via Amazon SageMaker, and enterprise-grade AI governance implementation.

• Model Evaluation & Optimization: Leveraged Amazon Bedrock Playgrounds to evaluate and compare foundation models (Mistral, Titan, Nova), optimizing performance through hyperparameter tuning for specific business use cases.
• Architectural Integration: Streamlined the deployment of AI-generated content by integrating Amazon Bedrock with EC2 hosting environments, utilizing Session Manager for seamless application updates and content delivery.
• Scalable Model Deployment: Engineered robust AI solutions using Amazon SageMaker, deploying model endpoints (Mistral Lite) with the SageMaker Python SDK and conducting advanced prompt engineering experiments in SageMaker Studio.
• AI Governance & Security: Implemented enterprise-grade safety protocols using Amazon Bedrock Guardrails to create custom safeguard policies, ensuring secure and compliant interactions within conversational AI assistants.

Programmer Analyst Trainee (Intern) at Cognizant Technology Solutions (2022-01 – 2022-07)

Built SQL-based ETL pipelines and dimensional data models simulating financial services reporting workflows. Designed Tableau KPI dashboards supporting drill-down analysis and trend monitoring.

• Built SQL-based ETL pipelines and dimensional data models (Star Schema, Snowflake Schema) simulating financial services reporting workflows; applied data normalization and integrity best practices.
• Designed Tableau KPI dashboards supporting drill-down analysis and trend monitoring across operational and financial metrics for business stakeholders.

Bachelor of Engineering in Information Science and Engineering – KLS Gogte Institute of Technology, Belagavi (2018 – 2022)