Data Engineering • Analytics • Applied AI

Abhilash Joga

Data & Analytics Engineer

Cloud Data Platforms • BI Modernization • AI-Enabled Analytics

Data & Analytics Engineer with 7+ years of experience building scalable data platforms, cloud analytics solutions, enterprise reporting, data pipelines, and automation across modern cloud environments.

Experienced with Microsoft Fabric, Databricks, Snowflake, Azure, Power BI, SQL, Python, cloud migration, analytics engineering, and applied AI solutions.

View Projects View Resume LinkedIn

Abhilash Joga

Data & Analytics Engineer

7+ Years • Cloud Data • Analytics

Experience

Adobe

Swire Coca-Cola

Amazon

Core Technologies

Microsoft Fabric

Databricks

Snowflake

Azure

Power BI

Python

MEASURABLE OUTCOMES

BUSINESS IMPACT

Examples of measurable business outcomes supported through analytics, automation, and data-driven operational improvements.

23%

Transportation Cost Reduction

Supported logistics and route analytics initiatives that reduced transportation costs.

12.5%

Delivery Stop Reduction

Supported delivery-frequency optimization that reduced unnecessary delivery stops.

25%

Route Inefficiency Reduction

Applied analytics to identify routing patterns and improve last-mile performance.

10%

Delivery Delay Reduction

Supported operational analytics initiatives focused on improving delivery performance.

Outcomes reflect professional initiatives described in the experience and project case studies.

MY BACKGROUND

About Me

I work at the intersection of data engineering, analytics, cloud modernization, and applied AI—building solutions that make enterprise data more scalable, reliable, and useful.

7+

Years in Data & Analytics

4

Enterprise Organizations

Cloud

Migration & Modernization

AI + BI

Applied Analytics Solutions

CAREER STORY

From analytics to modern data platforms

My career has evolved across analytics, business intelligence, data engineering, and cloud platform modernization. That progression has given me experience across the full analytics lifecycle from understanding business questions to engineering the data foundations that support reporting and decision-making.

I have worked on enterprise initiatives involving data pipelines, cloud migrations, semantic models, operational analytics, Power BI modernization, automation, and scalable data architectures across SQL Server, Snowflake, Databricks, Microsoft Fabric, and Azure.

More recently, I have also been applying generative AI to analytics-oriented use cases, including context-grounded assistants, job-description analysis, automated reporting, and workflow integration.

My focus is not only on building technology, but on connecting architecture, data quality, analytics, automation, and business outcomes into solutions that can be maintained and scaled.

WHAT I WORK ON

Core Expertise

Data EngineeringCloud Data PlatformsETL / ELT PipelinesLakehouse ArchitectureData ModelingSemantic ModelsBusiness IntelligencePlatform ModernizationData ValidationAnalytics AutomationApplied AI

Technology Focus

Microsoft Fabric

Databricks

Snowflake

Azure

Power BI

SQL

Python

Power Platform

I'm particularly interested in roles where data engineering, analytics platforms, cloud modernization, and applied AI come together to solve real business problems.

ENTERPRISE EXPERIENCE

Experience delivering data, analytics, and platform solutions across organizations including Adobe, Swire Coca-Cola, and Amazon.

View Experience →

CAREER JOURNEY

Professional Experience

Experience spanning data engineering, business intelligence, cloud modernization, logistics analytics, automation, and applied analytics across enterprise environments.

Adobe

Data Engineer

Mar 2026 - Present

Building enterprise data engineering and analytics solutions while supporting cloud modernization initiatives across Databricks, Microsoft Fabric, SQL Server, Salesforce, and Dynamics 365.

Key Contributions

✓Developed ETL and ELT pipelines integrating Databricks, SnapLogic, SQL Server, Salesforce, Dynamics 365, and Microsoft Fabric
✓Built Microsoft Fabric workspaces, Lakehouses, pipelines, semantic models, and enterprise reporting solutions
✓Supported proof-of-concept initiatives evaluating migration of legacy SQL Server workloads to Databricks and modern cloud data platforms
✓Automated integration and reporting workflows across enterprise business systems and cloud analytics platforms
✓Explored AI-enabled reporting and analytics workflows for KPI summaries, reporting automation, and business insights

Technology

DatabricksMicrosoft FabricSQL ServerSnapLogicAzurePower BISQL

Swire Coca-Cola

Business Intelligence Analyst

Feb 2023 - Mar 2026

Delivered enterprise business intelligence, logistics analytics, cloud data modernization, and automation solutions supporting operational, financial, and commercial decision-making.

Key Contributions

✓Built logistics analytics solutions integrating operational data from Samsara, BlueJay, SAP, SQL, and Python to improve transportation visibility
✓Contributed to a 23% reduction in transportation costs through route, delivery, and operational analytics
✓Developed Power BI dashboards and semantic models for KPIs including OTIF, delivery performance, Cases per Stop, and operational productivity
✓Supported delivery-frequency optimization initiatives that reduced delivery stops by 12.5%
✓Migrated SQL Server analytical workloads to Snowflake on Azure and supported downstream Power BI reporting
✓Supported modernization patterns moving Snowflake analytics workloads toward Microsoft Fabric Lakehouse, pipeline, and semantic-model architecture
✓Automated reporting and operational workflows using Power Apps and Power Automate

Technology

Microsoft FabricSnowflakeAzurePower BIPythonSQLPower AppsPower Automate

Amazon

Last Mile Analyst

Jul 2020 - Aug 2022

Analyzed large-scale last-mile logistics operations across North America and Europe using SQL, Amazon Redshift, Python, APIs, and AWS analytics services.

Key Contributions

✓Analyzed operational data using SQL and Amazon Redshift to identify delivery bottlenecks, root causes, and process improvement opportunities
✓Built operational dashboards and KPI reporting using Amazon QuickSight
✓Integrated traffic and route data using Python, APIs, Apache Airflow, and AWS services to support delivery optimization
✓Processed delivery feedback and geospatial datasets to improve map quality, routing accuracy, and last-mile performance
✓Applied Python-based statistical analysis to identify routing patterns and contributed to a 25% reduction in route inefficiencies
✓Supported initiatives that contributed to a 10% reduction in delivery delays

Technology

SQLAmazon RedshiftPythonAWSApache AirflowAmazon QuickSightAPIs

CAREER PROGRESSION

Operational Analytics→

Business Intelligence→

Cloud Data Engineering→

Platform Modernization→

Applied AI

MY STORY

I didn't start with a perfect plan.

From starting my career as a fresh graduate, to discovering analytics at Amazon, moving to the U.S. for my master's, and finding my path into data engineering every chapter changed what came next.

Concentrix→Amazon→University of Utah→Swire Coca-Cola→Data & AI

Read My Story→

A TURNING POINT

Amazon • Day 1

↗

SELECTED WORK

Featured Projects

Data engineering, cloud modernization, enterprise analytics, and applied AI projects demonstrating architecture, implementation, automation, and measurable business outcomes.

AI / DATA INTELLIGENCEFeatured

DataLens AI

Interactive data and document intelligence platform for CSV, Excel, and PDF files with automated profiling, quality scoring, anomaly detection, visualization, document search, and AbhI Analyst for AI-powered Q&A and SQL/Python remediation.

Architecture

CSV / Excel / PDF→

Browser Analysis→

Quality Engine→

Visualization→

AbhI Analyst

Technology

Next.jsTypeScriptOpenAI APIPapa ParseSheetJSPDF.jsRecharts

Key Outcomes

✓Interactive CSV and multi-sheet Excel analysis
✓Automated profiling and data-quality scoring
✓Anomaly, duplicate, missing-value, and validity detection
✓PDF extraction, search, and document intelligence
✓AI-powered SQL and Python remediation generation

Try DataLens AI →

DATA ENGINEERING

Delivery Standardization & Cost Optimization Platform

Enterprise data and analytics solution designed to identify delivery inefficiencies, standardize operational KPIs, optimize delivery frequency, and improve transportation performance.

Architecture

Operational Data→

SQL / Bronze→

Python / Silver→

Gold Data Model→

Power BI

Technology

Power BIPythonSQLData ModelingMicrosoft Fabric Concepts

Key Outcomes

✓12.5% reduction in delivery stops
✓23% reduction in transportation costs
✓Enabled cost-to-serve analysis
✓Improved route and driver productivity visibility

View Case Study →GitHub ↗

CLOUD DATA ENGINEERING

Cloud Data Migration & Modernization

Cloud modernization case study covering enterprise migration patterns across SQL Server, Snowflake, Databricks, and Microsoft Fabric with validation, reconciliation, and analytics continuity.

Architecture

Legacy Sources→

ETL / ELT→

Cloud Platform→

Validation→

Power BI

Technology

Microsoft FabricDatabricksSnowflakeAzureSQLPython

Key Outcomes

✓SQL Server → Snowflake modernization
✓SQL Server → Databricks modernization patterns
✓Snowflake → Microsoft Fabric modernization
✓Source-to-target validation and reconciliation

View Case Study →

AI / APPLICATION ENGINEERING

AI-Powered Analytics Assistant

Interactive AI portfolio assistant combining context-grounded OpenAI responses, job-description analysis, and Google Calendar scheduling through a production-style Next.js application.

Architecture

Chat Interface→

Next.js APIs→

Profile Context→

OpenAI→

Google Calendar

Technology

OpenAI APINext.jsTypeScriptPrompt EngineeringGoogle Calendar APIGoogle OAuth 2.0

Key Outcomes

✓Conversational access to experience and project information
✓Job-description vs. profile matching
✓Real-time calendar availability checks
✓30-minute meeting scheduling with Google Meet
✓Backend-confirmed actions and scheduling guardrails

View Case Study →

BI / PLATFORM MODERNIZATION

Enterprise BI & Power Platform Modernization

Modernized enterprise Power BI and Power Platform practices through source control, deployment pipelines, governed ownership, ALM standards, and automated BI monitoring workflows.

Architecture

Development→

PBIP + Git→

Deployment→

Governance→

Production

Technology

Power BIPBIPGitPower AppsPower AutomateDeployment Pipelines

Key Outcomes

✓Introduced PBIP and Git-based Power BI version control
✓Standardized Dev → Test → Production deployment
✓Implemented Power Apps and Power Automate ALM practices
✓Automated BI validation and refresh monitoring
✓Reduced dependency on individual credentials

View Case Study →

Case studies combine professional experience with sanitized, synthetic, or simplified portfolio examples where necessary to protect confidential business information.

PROFESSIONAL CREDENTIALS

Certifications

Industry certifications supporting my work across modern data platforms, cloud databases, business intelligence, and enterprise technology operations.

Microsoft Certified: Fabric Data Engineer Associate

Microsoft

2025

Microsoft Fabric data engineering, Lakehouse architecture, data pipelines, and analytics solutions.

FabricLakehouseData Engineering

Microsoft Certified: Power BI Data Analyst Associate

Microsoft

2023

Power BI reporting, semantic models, DAX, data modeling, and business intelligence.

Power BIDAXSemantic Models

Microsoft Certified: Azure Database Administrator Associate

Microsoft

2023

Azure database administration, cloud data platforms, performance, security, and operational management.

AzureDatabasesCloud

ITIL Foundation

PeopleCert

2025

IT service management principles, operational practices, service delivery, and continuous improvement.

ITSMOperationsService Management

LET'S CONNECT

Interested in working together?

Open to opportunities across Data Engineering, Analytics, Microsoft Fabric, Databricks, cloud data platforms, BI modernization, and applied AI solutions.

Explore my projects, review my experience, ask Abhilash AI a question, or schedule a conversation directly through the portfolio assistant.

LinkedIn Email Mobile GitHub

You can also use Abhilash AI in the bottom-right corner to explore my experience, analyze a job description, or schedule a 30-minute meeting.