Dikshit Uniyal

CEO

Noida, Uttar Pradesh, India9 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected innovative data solutions reducing onboarding time by 70%.
Led successful migration of 45 TB data to Azure Data Lake.
Developed automated financial reconciliation solution with 99.9% accuracy.

Stackforce AI infers this person is a SaaS data engineering expert with a focus on cloud solutions and automation.

Contact

Skills

Core Skills

Data ArchitectureMicrosoft FabricAzure Data LakeMicrosoft Power BiData VisualizationAnalytics

Other Skills

Python (Programming Language)Cloud ConsultingCopilot Agent BuilderPySparkSQLGen AISAP HRSharePointBusiness CenterADLS Gen2Sustainability ManagerManagementAzure DatabricksLeadershipSQL Server Integration Services (SSIS)

About

With over nine years of experience in data engineering, I contribute to KPMG India as a Technical Lead, focusing on Microsoft Fabric platform development and AI agent solutions. My work includes architecting data platforms, creating financial reporting dashboards, and implementing automated reconciliation solutions, all while leveraging Microsoft Fabric, Copilot Agent Builder, and Azure Data Lake expertise. My mission revolves around driving efficiency and innovation in data-driven solutions. I aim to empower organizations with robust, automated systems that enhance accuracy and streamline processes. Passionate about leveraging cutting-edge technologies, I strive to provide impactful solutions that align with organizational goals and deliver measurable results.

Experience

9 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 10 mos

Current Experience

Kpmg india

Technical Lead

Jul 2024 – Present · 1 yr 10 mos · Gurugram, Haryana, India · Hybrid

Microsoft Fabric Platform & AI Agent Development:
Fabric Data Platform POC: Architected proof-of-concept Microsoft Fabric data platform with medallion architecture (Bronze-Silver-Gold) establishing Copilot Agent for automated schema validation and intelligent data ingestion, reducing onboarding time by 70%
Spearheaded financial reporting dashboard development in Microsoft Fabric, leveraging Gen AI prompt engineering to accelerate delivery by 33%, integrating SAP HR, SharePoint, and Business Center systems
Architected airline complex financial reconciliation solution automating using python, manual processes and reducing processing time from days to under 1 hour with 99.9% accuracy
Executed ESG analytics platform for supply chain client using Microsoft Fabric, ADLS Gen2, and Sustainability Manager, ensuring compliance with GRI, SASB, TCFD standards
Team Leadership & Delivery:
Lead and mentor team of 6 data engineers and analysts, conducting technical reviews, establishing development standards, and managing sprint planning using Agile/Scrum methodologies
Drive stakeholder engagement across finance, operations, and executive teams ensuring alignment on project objectives, timelines, and deliverables

Data ArchitectureAzure Data LakePython (Programming Language)Cloud ConsultingCopilot Agent BuilderPySpark+2

Accenture

2 roles

Team Lead

Promoted

Dec 2023 – Jun 2024 · 6 mos · Noida, Uttar Pradesh, India

Successfully led the migration of approximately 45 TB of data from on-premises Hadoop Distributed File System (HDFS) to Azure Data Lake Storage Gen 2 (ADLS G2) within a stringent timeframe using Azure Databricks and Azure Data Factory v2 (ADF v2).

ManagementPySparkSQLData ArchitectureAzure Data LakePython (Programming Language)+2

Senior Analyst

Apr 2022 – Dec 2023 · 1 yr 8 mos · Noida, Uttar Pradesh, India

Orchestrated the migration from on-premises Sybase database to Azure SQL database within 6 months, employing SQL Server Migration Assistant (SSMA) and SQL Server Integration Services (SSIS).
Engaged with business users for requirements gathering to develop and maintain Power BI visualization and dashboards, optimizing datasets and queries.

SQL Server Integration Services (SSIS)SQLAzure Data LakePython (Programming Language)SSMAMicrosoft Power BI+1

Hcl technologies

Senior Analyst

May 2020 – Apr 2022 · 1 yr 11 mos · Noida, Uttar Pradesh, India · Remote

Collected data from wide-range sources and automated ETL process using Azure Logic App and Azure Data Factory v2 (ADF v2).
Synthesized business data to produce Power BI reports and polished presentations, highlighting findings and recommending changes.
Created and periodically reviewed project documents to update business logic, impact, key performance indicators (KPIs), project constraints, assumptions, risk based on requirement analysis and business workflows obtained from relevant stakeholders.

PySparkDocumentationAzure Data FactoryAzure Data LakeAnalyticsPython (Programming Language)+5

Dynata

2 roles

Data Analyst

Promoted

Jan 2020 – May 2020 · 4 mos · Hybrid

Identified, analyzed and reported large raw datasets for data cleanup, verbatim quality and accuracy as per the market research project questionaries standard guidelines.
Developed Power BI reports showing qualitative and quantitative trends to evaluate key project metrics as per given requirement.
Effectively identified, investigated, resolved, and escalated task challenges with minimal error.

Data VisualizationCritical ThinkingCommunicationAzure Data LakeAnalyticsProblem Solving+4

Project Coordinator

Jul 2017 – Dec 2019 · 2 yrs 5 mos · Hybrid

Identified, analyzed and reported large raw datasets for data cleanup, verbatim quality and accuracy as per the market research project questionaries standard guidelines.
Developed Power BI reports showing qualitative and quantitative trends to evaluate key project metrics as per given requirement.
Effectively identified, investigated, resolved, and escalated task challenges with minimal error.

Microsoft ExcelAnalyticsTransact-SQL (T-SQL)Microsoft Power BI

Sage publications

Marketing Database Executive

Jun 2016 – Jul 2017 · 1 yr 1 mo · Dehradun

Development and maintenance of SAGE UK/US customers Marketing database.
In depth research of customers/prospects contacts and accounts information as per the project brief, including enhancing core database and profiling new and existing information.
Allocation - reallocation of resources, re-estimation, quality checks of captured data and performance tracking based on given KPIs for various aligned projects.

SQLMicrosoft ExcelWeb ScrapingOnline Research