Data Engineer

GMK is a UK-based cloud based startup in UK focused on delivering scalable cloud solutions, and improving business efficiency through secure cloud services. .

• Designed and implemented end-to-end data ETL pipelines on Google Cloud Platform (GCP) using services like Google Cloud Dataflow, BigQuery, and Google Cloud Storage, resulting in improved data accessibility and efficiency.
• Constructed infrastructure tailored to support the operation of data pipelines, ensuring cost-effectiveness, resilience, and scalability.
• Collaborated exclusively with stakeholders from diverse departments to meticulously gather requirements, facilitating the design, construction, and execution of a spectrum of data platform initiatives.
• Address raw data queries through storytelling, offering in-depth, actionable insights to business stakeholders.

Junior BI Developer

Bank of America is a global financial institution offering a wide range of banking and investment services. It focuses on innovative digital solutions and personalized customer experiences.

• Worked exclusively with stakeholders from various departments to gather requirements to design, build, and execute various data platform initiatives.
• Create pipelines in ADF using Integration Runtime’s, linked services, datasets to extract, transform data from different source like Blob, on premises SQL DWH, Web Pages also created triggers to automate Data Factory pipelines, Dataflows.
• Assisting end users in troubleshooting data-related issues, performance issues resolving queries, and ensuring the smooth functioning of BI Sols.
• Developed Daily, Weekly, Monthly and Quarterly reports to analyses the trend and provide the insights about business using PowerBI.

Data Engineer

Accenture, a global leader in consulting, technology, and outsourcing with a focus on digital transformation. Employs 600,000+.

• Collaborated with stakeholders from various departments, including business users, IT teams, and executives to understand data requirements and translating them into business dashboards.
• Create and implement an ETL pipeline using Azure Databricks and Data Factory to automatically extract data from various sources and prepare it by cleaning data, de normalizing, and organising it
• Developed frameworks for data governance to guarantee the appropriate management, security, and privacy of data.
• Updating current dashboards, reports, and dataflows while focusing on ad hoc tasks to enhance such reports.
• Gave technical support to internal teams and helped in troubleshooting data-related difficulties

Data Analyst Intern

Claro, a cloud based data-driven solution based company and mainly it offers services like Cloud infrastructure services, PaaS, SaaS. And has 1000+ employeees.

• Worked and interpreted diverse client finance and sales datasets to identify trends and insights.
• Delivered bi-monthly reports to upper management, providing strategic insights for decision making, and presented clear data insights to business stakeholders.
• Using Power BI, created story-telling dashboards that deliver actionable insights into operational efficiency.
• • Published reports into Power BI Services, managed users, user groups, and incorporated RLS, and Using Gateways, I was able to schedule reports.

Masters in Data Science

Grade: In Progress(Expected Completion: April 2024)

Bachelors in Computer Science

Grade: First class distinction.