Vikash Maurya — Senior Software Engineer

👋 Hi, I’m Vikash Maurya – a Certified Azure Data Engineer with over 4 years of experience delivering data-driven financial analytics and building scalable data engineering solutions in cloud environments. 🚀 I specialize in Azure Data Engineering, with a deep focus on Databricks, PySpark, and SQL—empowering organizations to turn raw data into meaningful insights that support strategic financial decisions and business growth. 💼 My career so far has been at the intersection of finance and data engineering, where I’ve: - Designed and optimized large-scale data pipelines in Azure & Databricks - Delivered insightful analytics dashboards via Power BI and Tableau - Automated ETL workflows to streamline budgeting, forecasting, and reporting - Collaborated in Agile Scrum environments for fast-paced data product delivery 📊 I thrive on solving complex problems, uncovering hidden trends in data, and translating analytics into profitability-driving strategies. My ability to bridge business logic with technical execution is what sets me apart. 🧠 I’m constantly upgrading my skills to keep up with the evolving data landscape, while also mentoring junior engineers and contributing to open-source projects. 🔧 Core Competencies: - Azure Data Engineering | Azure Data Factory | Azure Synapse - SQL | PySpark | Databricks | Delta Lake - Financial Analytics | Budgeting & Forecasting Support - Data Visualization (Power BI, Tableau) - Agile | Scrum | CI/CD in Data Workflows - Data Modeling | Data Governance | Performance Tuning 🎓 Education: B.E. in Computer Science & Engineering Gujarat Technological University (Ongoing) 📬 Let’s connect: 📧 vikashm2711@gmail.com 💻 GitHub ✅ Actively Looking for New Opportunities Whether it's a remote-first company or a data-driven team looking for someone to build, optimize, and scale Azure-based data platforms — I’m ready to bring impact.

Stackforce AI infers this person is a Data Engineering expert in Fintech, specializing in Azure-based solutions.

Location: Ahmedabad, Gujarat, India

Experience: 4 yrs 2 mos

Skills

Azure Data Engineering
Financial Data Engineering
Data Engineering
Etl Tools
Business Analysis
Data Analysis

Career Highlights

Certified Azure Data Engineer with 4+ years of experience.
Expert in building scalable data engineering solutions.
Proven track record in financial analytics and data pipeline optimization.

Work Experience

SPEC INDIA

Senior Software Engineer (11 mos)

Software Engineer (2 yrs 8 mos)

AddWeb Solution Private Limited

Associate Business Analyst (7 mos)

Supraja Technologies

Cyber Security Advance Intern (1 mo)

Education

Bachelor of Engineering - BE at Gujarat Technological University (GTU)

HSC at Shiv Ashish School

Vikash Maurya

Senior Software Engineer

Ahmedabad, Gujarat, India4 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Certified Azure Data Engineer with 4+ years of experience.
Expert in building scalable data engineering solutions.
Proven track record in financial analytics and data pipeline optimization.

Stackforce AI infers this person is a Data Engineering expert in Fintech, specializing in Azure-based solutions.

Contact

vikashm2711@outlook.com LinkedIn

Skills

Core Skills

Azure Data EngineeringFinancial Data EngineeringData EngineeringEtl ToolsBusiness AnalysisData Analysis

Other Skills

ADFAgile MethodologiesAmazon Web Services (AWS)Azure Data FactoryAzure DatabricksBusiness Intelligence (BI)Cloud Data SolutionsData AnalyticsData ArchitectureData Warehouse ArchitectureFinancial AnalysisLeadershipManagementMicrosoft AzureMicrosoft Excel

About

Experience

Spec india

2 roles

Senior Software Engineer

Promoted

Apr 2025 – Present · 11 mos

Lead engineer for end-to-end financial data pipeline architecture using Azure Data Factory, Databricks, and PySpark.
Acted as the primary problem solver for high-priority data bottlenecks, from ETL failures to system integration mismatches.
Reduced manual time-entry errors by 60% through a custom automation suite that enhanced timecard reporting accuracy.
Collaborated with cross-functional teams to align business logic with data logic, especially for budgeting, hiring, and forecasting.
Improved Adaptive Planning accuracy by eliminating data sync issues, earning client praise for reliability and speed.

Azure DatabricksADFPySparkSQLFinancial Data EngineeringData Architecture+3

Software Engineer

Aug 2022 – Apr 2025 · 2 yrs 8 mos

Worked as a Data Engineer focusing on building and improving data pipelines and reports for finance-related use cases.
Used tools like Azure Databricks, ADF, PySpark, and SQL to manage ETL processes and support analytics for multiple teams.
Coordinated with cross-functional teams, including finance and HR, to solve real-world data challenges and reduce manual work.
Key Projects:
Timecard Reporting Automation – Built an automated system to track time entries, which reduced manual work by over 60% and increased report accuracy.
Greenhouse–Workday Integration – Solved critical data sync issues between Greenhouse and Workday, making the hiring process smoother and reducing manual corrections.
Workday Email Receipt Feature – Helped implement a feature where users could email their receipts for expense claims, improving user convenience and reducing back-and-forth.
Resource Planning Fixes in Adaptive Planning – Worked with the finance team to fix headcount and cost projection issues, which helped improve planning accuracy and gained client appreciation.

Azure DatabricksAzure Data FactoryFinancial AnalysisData AnalysisETL ToolsData Engineering+4

Addweb solution private limited

Associate Business Analyst

Jan 2022 – Aug 2022 · 7 mos · India

Developed clear, understandable business and project plans, reports, and analyses.
Identified relevant data sets and add them on the fly.
Defined new data collection and analyzed processes as needed.
Created and implemented daily, weekly and monthly Engagement reporting, which helped management to take necessary actions to improve the performance of the company by 43%.
Implemented automation for reporting, which reduced waiting time by more than 90%, manual error by 83% thus improved performance analysis process.
Maintenance, enhancement, support of applications and process improvement.

Microsoft ExcelProject ManagementData AnalysisBusiness AnalysisAgile MethodologiesSQL

Supraja technologies

Cyber Security Advance Intern

Feb 2021 – Mar 2021 · 1 mo · India

Internship on Ethical Hacking & Cyber Security key learning where Network Scanning, Enumeration, Session Hijacking, Social Engineering , Cloud Computing etc.