Executive Summary 💡

13+ years Senior Data Platform Architect specializing in large-scale distributed data systems, data governance (lineage, quality, compliance), and cloud-native platforms. Delivered enterprise data platforms processing 2TB+ daily with 70% latency reduction and 99.9% SLA. Expert in orchestration (Airflow/Kubernetes), observability (Datadog/Prometheus), IaC (Terraform), multi-cloud (AWS/Azure), Data Mesh principles, and AI/ML integration across Salesforce, Apple, Qualcomm, IBM, PwC.

Professional Experience 💼

Atlassian
Lead Engineering
Sep 2025 - Present
Databricks • Spark • Python • Data Platform Engineering • Data Governance • AI/ML Pipelines • Orchestration
  • Leading data platform initiatives with Databricks / Spark for enterprise analytics and AI/ML workloads for Go To Market product
  • Establishing data governance standards including quality frameworks and pipeline observability
  • Building AI-ready data infrastructure on Databricks enabling GenAI model deployment and ML feature engineering
Salesforce
Staff Engineering, Performance Engineering, Sales AI
Jul 2022 - Aug 2025
AWS • Spark • Kafka • Python • Airflow • Terraform • Kubernetes • Datadog • Prometheus • GenAI • GraphDB
  • Architected cloud-native data platform with event-driven pipelines, achieving 70% latency reduction using Spark/EKS/Kafka orchestration
  • Implemented platform observability with Datadog/Prometheus; established SLAs and data quality monitoring for CI/CD systems
  • Built IaC automation (Terraform/EKS/Jenkins) reducing deployment time by 70%; enabled developer self-service patterns
  • Led GenAI/AI integration into data infrastructure achieving 25-40% performance improvement
Apple Inc.
Technical Lead, Module Owner
Jun 2020 - Jul 2022
Apple Cloud • AWS • Python • Kafka • PySpark • Snowflake • Docker • Kubernetes • EMR • Multi-Cloud Migration
  • Led 12-member engineering team architecting enterprise data platform processing 100GB+ daily with 99.9% SLA
  • Built real-time data pipelines (Kafka) handling 1M+ msgs/hour with comprehensive data quality and lineage tracking
  • Led cloud migration (on-prem to AWS) with Data Mesh principles, reducing costs 50% and improving scalability 300%
  • Established data governance standards for data discovery, quality controls, and compliance across supply-chain domain
  • Built data APIs with semantic models and metadata management serving 10+ internal analytics teams
Qualcomm
Senior ML, Distributed System Engineer
Nov 2017 - May 2020
Big-Data Platforms • Spark • Python • HIVE • MapR • Kafka • Airflow • TensorFlow • Hadoop • Data Lakehouse
  • Architected large-scale distributed data platform processing 2TB+ daily with Spark/HIVE/MapR DB in Hadoop ecosystem
  • Built AI/ML data pipelines with 92% model accuracy; optimized data infrastructure reducing resource usage 25%
  • Implemented data quality and monitoring frameworks ensuring data reliability across enterprise analytics workloads
  • Won Innovation Maestro, HaQkathon; presented distributed platform architecture to CxO leadership
  • Designed orchestration workflows (Airflow) and data transformation frameworks improving pipeline efficiency by 35%
  • Partnered with engineering and analytics teams enabling developer self-service access to 15+ data products
IBM
Advisory Analyst, Azure Cloud SME
Dec 2016 - Nov 2017
Azure • Multi-Cloud • Data Factory • MongoDB • Python • Cloud Migration • Data Integration
  • Led 6-member team architecting multi-cloud data platform on Azure, delivered ahead of schedule
  • Migrated 500GB+ data with 99.9% integrity using Azure Data Factory; established data quality SLAs
  • Implemented IaC automation and compliance frameworks meeting regulatory requirements across 3 geographic regions
PwC
Senior Developer / Consultant
Oct 2014 - Dec 2016
BI • Data Warehouse • SQL Server • Oracle • SSIS • ETL • Python • Data Visualization • Dashboards
  • Architected BI platform with OLTP/OLAP optimization querying billion+ rows in 2-5 sec; delivered dashboards for business analytics
  • Built scalable ETL pipelines processing 50M+ rows daily; Won STAR Performer for data platform excellence
  • Implemented logical data modeling and schema versioning improving data consistency by 40% across analytics workloads
  • Collaborated with business stakeholders across Sales, Finance enabling data-driven decision-making for 20+ teams
Cognizant
Application Developer
Apr 2012 - Oct 2014
SQL Server • SSIS • C# • ADO.NET • JavaScript • Angular • Java
  • Managed 24x7 production support for MetLife bulk data processing, and application support
  • Automated processes reducing manual effort by 60%