Shubham S. — Software Engineer

As a seasoned Data Engineer at Microsoft with over 6 years of hands-on experience, I am passionate about harnessing the power of data to drive innovative solutions and business growth. With a strong background in data architecture, ETL processes, and advanced analytics, I thrive on transforming raw data into actionable insights that empower organizations to make informed decisions. My expertise lies in collaborating with cross-functional teams to identify data-driven opportunities, design scalable data pipelines, and implement robust data governance strategies. I am driven by a relentless pursuit of excellence, constantly exploring new technologies and methodologies to stay ahead of the curve. Whether you are a startup seeking to optimize your data infrastructure or an established enterprise looking to unlock the full potential of your data assets, I am here to partner with you. Let's connect and discuss how I can leverage my skills and experience to help your organization achieve its data-driven goals. Building Scalable Solutions for the Digital Age 🚀🚀 Azure Data Engineering Tech Stack: Azure Data Factory (ADF): For building and managing ETL (Extract, Transform, Load) and data integration workflows. Azure Synapse Analytics: For big data and data warehousing solutions, including SQL data warehousing and big data integration. Azure Databricks: For big data processing and analytics using Apache Spark. Azure Stream Analytics: For real-time data stream processing. Azure Event Hubs: For ingesting and processing large amounts of event data. Azure Data Lake Storage: For scalable data storage solutions. Azure Blob Storage: For storing large amounts of unstructured data. Azure Cosmos DB: For globally distributed, multi-model database services. Azure HDInsight: For provisioning cloud Hadoop, Spark, and other big data clusters. Azure SQL Database: For fully managed relational database services. Azure Monitor: For monitoring and managing the performance and availability of applications and services. Azure DevOps: For continuous integration and continuous delivery (CI/CD) pipelines. Power BI: For data visualization and business analytics. Python and SQL: For data processing and querying. Scala: For big data processing with Apache Spark. PowerShell: For scripting and automation tasks. Other Tools and Technologies : YugabyteDB Dataiku Snowflake ChatGPT Knime etc.

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with a focus on data architecture and analytics.

Location: Noida, Uttar Pradesh, India

Experience: 7 yrs 6 mos

Skills

Business Intelligence
Cloud Computing
Data Science
Data Engineering

Career Highlights

Over 6 years of experience in data engineering.
Expert in building scalable data pipelines and ETL processes.
Strong background in data architecture and advanced analytics.

Work Experience

Microsoft

Software Engineer 2 (L62) (1 yr 7 mos)

Software Engineer 2 (L61) (2 yrs 4 mos)

BRIDGEi2i Analytics Solutions

Lead Data Engineer (8 mos)

Neudesic

Senior Consultant I, Data & AI (6 mos)

MAQ Software

Software Engineer 2, DataOps & BI (9 mos)

Software Engineer 1, DataOps & BI (1 yr 7 mos)

Software Intern, DataOps & BI (1 mo)

Education

Integrated Program in Business Analytics at Indian Institute of Management, Indore

Postgraduate Certification at Caltech

Master's degree at Liverpool John Moores University

Post Graduate Diploma at International Institute of Information Technology Bangalore

Bachelor of Technology - BTech at Global Institute of Technology,Jaipur

Mathematics and Computer Science at Bharti Public School

Shubham S.

Software Engineer

Noida, Uttar Pradesh, India7 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 6 years of experience in data engineering.
Expert in building scalable data pipelines and ETL processes.
Strong background in data architecture and advanced analytics.

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with a focus on data architecture and analytics.

Contact

Skills

Core Skills

Business IntelligenceCloud ComputingData ScienceData Engineering

Other Skills

Azure Blob StorageAzure Cosmos DBAzure Data FactoryAzure Data Lake StorageAzure DatabricksAzure DevOpsAzure Event HubsAzure HDInsightAzure MonitorAzure Stream AnalyticsAzure Synapse AnalyticsChatGPTCloud ArchitectureData PipelinesData Visualization

About

Experience

Microsoft

2 roles

Software Engineer 2 (L62)

Aug 2024 – Present · 1 yr 7 mos · Noida, Uttar Pradesh, India · Hybrid

Business Industry & Copilot

Software Engineer 2 (L61)

Mar 2022 – Jul 2024 · 2 yrs 4 mos · Noida, Uttar Pradesh, India · Hybrid

Customer Experiences & Services

Bridgei2i analytics solutions

Lead Data Engineer

Jun 2021 – Feb 2022 · 8 mos · Bangalore Urban, Karnataka, India

Neudesic

Senior Consultant I, Data & AI

Dec 2020 – Jun 2021 · 6 mos · Hyderabad, Telangana, India

Maq software

3 roles

Software Engineer 2, DataOps & BI

Mar 2020 – Dec 2020 · 9 mos · Hyderabad, Telangana

To participate in the full life cycle of development, requirement specification and design through implementation, testing and maintenance.
Attend regular conference calls with onsite and customer team for requirement clarity or any issues/blockers. Sync ups with clients as required.
Follow Agile methodology for all development work.
Work on core back end technologies like SQL, SSIS, SSAS etc. Using quality tools to optimize quality of work e.g. APEX SQL, T-SQL code analyzer etc
Created Power BI Dashboards as per business requirements.
Migrated On-Prem architecture to cloud (Microsoft Azure).
Used Machine Learning (Sentiment Analysis, Text Analytics, Recommendation System) to optimize support request process
Resolve critical issues and assisting team members in delivering projects on time.
Gained expertise and cleared several Microsoft certifications.
Reviewed code pull requests and test cases written by peers on a daily basis
Used quality tools like Visual Studio Online (VSO) for collaborative development

Software Engineer 1, DataOps & BI

Jul 2018 – Feb 2020 · 1 yr 7 mos · Hyderabad, Telangana

To participate in the full life cycle of development, requirement specification and design through implementation, testing and maintenance.
Attend regular conference calls with onsite and customer team for requirement clarity or any issues/blockers. Sync ups with clients as required.
Follow Agile methodology for all development work.
Work on core back end technologies like SQL, SSIS, SSAS etc. Using quality tools to optimize quality of work e.g. APEX SQL, T-SQL code analyzer etc
Created Power BI Dashboards as per business requirements.
Migrated On-Prem architecture to cloud (Microsoft Azure).
Used Machine Learning (Sentiment Analysis, Text Analytics, Recommendation System) to optimize support request process
Resolve critical issues and assisting team members in delivering projects on time.
Gained expertise and cleared several Microsoft certifications.
Reviewed code pull requests and test cases written by peers on a daily basis
Used quality tools like Visual Studio Online (VSO) for collaborative development

Software Intern, DataOps & BI

May 2018 – Jun 2018 · 1 mo · Hyderabad, Telangana

Created data pipelines to stage data from different sources and designed mart layer to provide data to downstream users
Created BVT Frameworks and KPI test cases which indicate row count mismatch etc. to acknowledge data anomalies before publishing data to production servers and ease daily verification by eliminating manual effort.