3
Certification
5
Years of experience
Data Engineer with over five years of experience integrating financial services operations with advanced data infrastructure. Expertise in architecting comprehensive data pipelines and delivering technical training on distributed systems, cloud data warehousing, and ETL/ELT workflows. Extensive knowledge in banking and loan portfolio analytics, along with proficiency in SQL, Python, Apache Airflow, PySpark, Snowflake, DBT, and AWS/Azure cloud technologies. Proven ability to transform complex business requirements into scalable data solutions while leading and mentoring cross-functional teams on industry best practices.
Work History
Data Engineer & Data Science Consultant
1 Year 3 Months- Real-Time API Ingestion: Architected highly resilient, asynchronous webhook listeners using Python and AWS Lambda to instantly ingest JSON payloads from the Meta Graph API (Instagram Lead Ads), WhatsApp Business API, and telephony providers.
- Change Data Capture (CDC): Built a real-time streaming pipeline utilizing Debezium and Apache Kafka to capture row-level transactional mutations from the operational ERP database (aksay.corp) and seamlessly replicate them to a cloud data warehouse.
- Dimensional Modeling: Orchestrated modular SQL transformations using dbt to convert raw nested JSON into a Kimball-style star schema optimized for analytical querying.
- Advanced Funnel Analytics: Designed accumulating snapshot fact tables to track the multi-stage student enrollment funnel, enabling business leaders to measure pipeline bottlenecks and velocity across technical courses.
- Identity Resolution & Attribution: Constructed graph-based identity stitching models using recursive SQL Common Table Expressions to unify fragmented user profiles across devices.
- ROI & Performance Tracking: Engineered programmatic marketing attribution models (first-touch, last-touch, and multi-touch) to allocate conversion credit, providing real-time Return on Ad Spend (ROAS) dashboards.
- Business Impact: Empowered the sales team to reduce average lead response times to under five minutes, a critical threshold proven to drastically increase lead qualification rates and prevent prospect drop-off.
Associate Executive
3 Years 10 Months- Managed a loan portfolio by analyzing customer credit data, income verification metrics, and risk indicators to optimize approval decisions and minimize default exposure.
- Developed automated Excel/VBA reporting dashboards tracking disbursement rates, collection efficiency, and NPA ratios, reducing manual reporting by ~15+ hours/week and accelerating leadership decision-making.
- Audited loan application data for completeness and accuracy, identifying documentation discrepancies that reduced processing errors by ~12% and accelerated loan approval turnaround.
- Analyzed monthly sales performance and customer segmentation to identify underperforming regions; recommended targeted interventions that contributed to ~10% portfolio growth.
- Served as liaison between sales and credit risk teams, translating business requirements into structured data requests and ensuring alignment on key risk metrics and compliance standards.
- Trained and onboarded 5 new sales officers on CRM data protocols, documentation standards, and data-driven sales methodologies.
Skills
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Programming and Scripting Languages
Python: Advanced scripting
Pandas
data structures
and API integrations
SQL: Advanced complex querying
Window Functions
Recursive CTEs
Triggers
and Cursors
VBA: Automation scripting and reporting
Cloud Infrastructure and Platforms
AWS: Lambda
S3
EC2
Glue
Secrets Manager
and MSK
Azure: Data integration tools
Databricks
and Unity Catalog
GCP: Google BigQuery
Data Engineering
Streaming and Orchestration
Pipelines and Orchestration: ETL and ELT Pipeline Design
Apache Airflow
PySpark
CI/CD Pipelines
and workflow automation
Data Transformation: dbt for modular SQL transformations
Streaming and CDC: Apache Kafka
Debezium for Change Data Capture
and real-time asynchronous Webhooks
Data Warehousing
Architecture and Modeling
Data Warehouses: Snowflake
Google BigQuery
Databases: PostgreSQL
operational ERP and CRM systems
Data Architecture: Medallion architecture
Kimball Methodology Star Schemas
and Accumulating Snapshot Fact Tables
Data Modeling: Graph based identity stitching
dimensional modeling
and structural optimization
Data Visualization and Business Intelligence
Tools: Power BI and Microsoft Excel
Techniques: Data storytelling
ROI and ROAS tracking
programmatic marketing attribution modeling
and advanced funnel analytics
APIs and Third Party Integrations
Endpoints: RESTful APIs
Meta Graph API
WhatsApp Business API
and Telephony APIs
Machine Learning Operations and Data Quality
MLOps: ML pipeline awareness
MLOps lifecycle tracking
and training and inference data requirements
Quality and Strategy: Data validation for model consumption
data quality management
code optimization
and cross functional team alignment
Python: Advanced scripting
Pandas
data structures
and API integrations.
SQL (Advanced): Complex querying
Window Functions
Recursive CTEs
Triggers
and Cursors.
VBA: Automation scripting and reporting.
Cloud Infrastructure & Platforms
AWS: Lambda
S3
EC2
Glue
Secrets Manager
and MSK (Managed Streaming for Apache Kafka).
Azure: Data integration tools
Azure Databricks
and Unity Catalog.
GCP: Google BigQuery.
Data Engineering
Streaming & Orchestration
Pipelines & Orchestration: ETL/ELT Pipeline Design
Apache Airflow
PySpark
CI/CD Pipelines
and workflow automation.
Data Transformation: dbt (Data Build Tool) for modular SQL transformations.
Streaming & CDC: Apache Kafka
Debezium for Change Data Capture (CDC)
and real-time asynchronous Webhooks.
Data Warehousing
Architecture & Modeling
Data Warehouses: Snowflake
Google BigQuery.
Databases: PostgreSQL
operational ERP/CRM systems.
Data Architecture: Medallion architecture
Kimball Methodology (Star Schemas)
and Accumulating Snapshot Fact Tables.
Data Modeling: Graph-based identity stitching
dimensional modeling
and structural optimization.
Data Visualization & Business Intelligence
Tools: Power BI and Microsoft Excel (Automated Dashboards).
Techniques: Data storytelling
ROI/ROAS tracking
programmatic marketing attribution modeling (first-touch
last-touch
multi-touch)
and advanced funnel analytics.
APIs & Third-Party Integrations
Endpoints: RESTful APIs
Meta Graph API (Instagram Lead Ads)
WhatsApp Business API
and Telephony APIs.
Machine Learning Operations & Data Quality
MLOps: ML pipeline awareness
MLOps lifecycle tracking
and training/inference data requirements.
Quality & Strategy: Data validation for model consumption
data quality management
code optimization
and cross-functional team alignment.
Education
B.Tech
Skills
Programming & Scripting Languages
Python: Advanced scripting
Pandas
data structures
and API integrations.
SQL (Advanced): Complex querying
Window Functions
Recursive CTEs
Triggers
and Cursors.
VBA: Automation scripting and reporting.
Cloud Infrastructure & Platforms
AWS: Lambda
S3
EC2
Glue
Secrets Manager
and MSK (Managed Streaming for Apache Kafka).
Azure: Data integration tools
Azure Databricks
and Unity Catalog.
GCP: Google BigQuery.
Data Engineering
Streaming & Orchestration
Pipelines & Orchestration: ETL/ELT Pipeline Design
Apache Airflow
PySpark
CI/CD Pipelines
and workflow automation.
Data Transformation: dbt (Data Build Tool) for modular SQL transformations.
Streaming & CDC: Apache Kafka
Debezium for Change Data Capture (CDC)
and real-time asynchronous Webhooks.
Data Warehousing
Architecture & Modeling
Data Warehouses: Snowflake
Google BigQuery.
Databases: PostgreSQL
operational ERP/CRM systems.
Data Architecture: Medallion architecture
Kimball Methodology (Star Schemas)
and Accumulating Snapshot Fact Tables.
Data Modeling: Graph-based identity stitching
dimensional modeling
and structural optimization.
Data Visualization & Business Intelligence
Tools: Power BI and Microsoft Excel (Automated Dashboards).
Techniques: Data storytelling
ROI/ROAS tracking
programmatic marketing attribution modeling (first-touch
last-touch
multi-touch)
and advanced funnel analytics.
APIs & Third-Party Integrations
Endpoints: RESTful APIs
Meta Graph API (Instagram Lead Ads)
WhatsApp Business API
and Telephony APIs.
Machine Learning Operations & Data Quality
MLOps: ML pipeline awareness
MLOps lifecycle tracking
and training/inference data requirements.
Quality & Strategy: Data validation for model consumption
data quality management
code optimization
and cross-functional team alignment.
Certification
- Data Engineering on AWS – Foundations
- AWS Foundations: Getting Started with the AWS Cloud Essentials
- Data Scientist in Edyoda
LANGUAGES KNOWN
Tamil
English
Timeline
Data Engineer & Data Science Consultant
Skillfloor Solutions Pvt Ltd
02.2025 - 05.2026Read More
Associate Executive
ME-HIN TECH EDGE SOLUTIONS
10.2019 - 08.2023Read More
ACHARIYA COLLEGE OF ENGINEERING AND TECHNOLOGY
B.Tech
Read More