Profile

What I focus on

Architecture

ETL and ELT platforms, CDC flows, and integration-first system design for resilient business pipelines.

Reliability

Operational excellence through retries, lineage, alerts, and observability patterns baked into delivery.

Acceleration

AI-assisted engineering workflows that shorten delivery cycles while preserving production-grade quality.

Executive Summary

Strategic Data Engineering Leader

Results-driven data engineering professional with 3 years and 10 months of progressive delivery across enterprise cloud modernization programs. I design and implement integration-heavy, cloud-native data platforms across Azure and GCP with strong depth in ETL and ELT, real-time CDC, API-first integration, and operational reliability.

My recent delivery spans BigQuery, Dataflow, Cloud Functions, Azure Data Factory, Synapse, Fabric, .NET services, and analytics enablement at 15TB+ scale. Through AI-assisted engineering workflows and process discipline, I have delivered measurable outcomes including 80% productivity gain, 11 POCs beyond target, and 22 operational improvements.

Outcomes

Measured impact

0%

Productivity Gain

0

POCs Beyond Target

0

Process Improvements

0

Enterprise Data Scale

Click Impact Tour to run a 4-step walkthrough of these outcomes.

Portfolio

Interactive project explorer

Analytics Pipeline

TripAdvisor Reviews Analysis

Problem: Build robust sentiment analytics with business-ready reporting outputs.

Built: End-to-end Azure analytics pipeline using Synapse, Data Lake, Data Warehouse, Power BI, and Azure ML.

Result: Delivered analytics-ready model and visualization stack for faster decision support.

Synapse · Data Lake · Data Warehouse · Power BI · Azure ML

Open Repository

Near Real-Time Signals

Azure Real-Time Twitter Data

Problem: Capture social signals and process them continuously for near real-time analysis.

Built: Streaming workflow with Azure Functions, Event Hub, and Stream Analytics orchestrated through Python.

Result: Enabled low-latency ingestion and processing pipeline for signal-driven use cases.

Python · Azure Functions · Event Hub · Stream Analytics

Open Repository

Architecture Case Study

Cross-Cloud Integration Blueprint

Scenario: Standardize high-volume enterprise ingestion, transformation, and serving across GCP and Azure systems.

Source Apps Event Hub / CDC APIs / Functions Dataflow / ADF Databricks BQ / Synapse Power BI / Alerts

Result: Resilient multi-path ingestion and transformation design for reliable analytics at enterprise scale.

Event Hub · APIs · Functions · Dataflow · ADF · Databricks · BigQuery · Synapse · Power BI

Reference Repository

Experience

Delivery timeline with outcomes

Dec 2024 - Present

Data Engineer · Ashley Global Capability Center

  • Spearheaded GCP data platforms with BigQuery, Dataflow, and Cloud Functions for 15TB+ workloads.
  • Implemented CDC and integration frameworks across heterogeneous systems with .NET Function Apps and APIs.
  • Introduced AI-assisted workflows that contributed to 80% productivity improvement in delivery cycles.

Jul 2023 - Dec 2024

Data Engineer · Ashvad Tech Private Limited

  • Built scalable ETL pipelines using Azure Data Factory and Synapse for enterprise reporting and analytics.
  • Delivered .NET Web API integration services and Hangfire-based orchestration for automated workflows.
  • Supported migration to Entra-only authentication and strengthened data access governance.

Jul 2022 - Jul 2023

Data Engineer · Provana

  • Developed automated ETL frameworks in ADF and Synapse for repeatable onboarding and operations.
  • Configured Logic Apps and KQL-driven monitoring patterns for proactive incident handling.
  • Improved operational throughput through workflow standardization and automation.

Credentials

Awards, certifications, and role fit

Awards and Recognition

  • Dirty Fingernail Award (2025)
  • Above and Beyond Award of the Quarter (Q4 2025)

Certifications

  • Microsoft Certified: Azure Data Scientist Associate (Recertified Nov 2025)
  • DeepLearning.AI TensorFlow Developer Specialization

Open To Roles

  • Senior Data Engineer
  • Cloud Data Platform Engineer
  • Integration-Focused Data Engineering Roles
  • Location: Chennai, India · Open to remote and hybrid collaboration

Connect

Let us build something meaningful

If your team is building data platforms, integrating cloud ecosystems, or modernizing delivery with reliable AI-assisted engineering, I am open to collaborating.

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