Arunkumar Bellamkonda

Data Analyst | Aspiring Data Engineer

Hyderabad, IN.

About

Highly analytical Data Analyst transitioning to a Data Engineer role, leveraging robust skills in Python, SQL, and cloud platforms (Azure, GCP) to design and optimize scalable data systems. Proven ability to build interactive dashboards, automate complex workflows, and develop robust ETL pipelines, aiming to drive data-driven solutions and enhance operational efficiency. Recently completed a Big Data Engineering Bootcamp, gaining expertise in Azure Data Factory, Databricks, Synapse, and Data Lake Storage.

Work

Cognizant

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Data Analyst - Project HQA DA(gup Search)

Hyderabad, Telangana, India

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Summary

As a Data Analyst at Cognizant, I design, develop, and automate data pipelines and dashboards to support critical decision-making and enhance operational efficiency.

Highlights

Engineered and deployed PLX data pipelines, automating ingestion, transformation, and validation across 11+ critical workflows, significantly enhancing data reliability and reducing manual intervention efforts.

Developed interactive dashboards using Google SQL, transforming raw data into actionable staging and reporting layers to empower informed decision-making for internal and external stakeholders.

Partnered with clients to meticulously gather requirements and analyze complex data integration needs, delivering scalable data warehouse and analytics solutions that optimized data accessibility.

Automated repetitive data processes using Python and JavaScript, resulting in streamlined workflows, enhanced team productivity, and reduced turnaround time for critical operations.

Education

Narasaraopet Engineering College

Narasaraopet, Andhra Pradesh, India
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Bachelor Technology Grade: 7.83 CGPA

Certificates

Big Data Engineering Bootcamp Project

Udemy

Silver badge in problem solving

HackerRank

Gold badge in Python

HackerRank

Skills

Data Engineering & ETL

Azure Data Factory (ADF), SSIS, Apache Spark, Kafka, Airflow, Databricks, ETL Pipeline Design, Data Ingestion, Data Transformation, Data Validation.

Cloud Platforms

Microsoft Azure, Google Cloud Platform (GCP), Azure Synapse, Azure Data Lake Storage, Cloud Architecture.

Data Warehousing & Modeling

Medallion Architecture, Data Lake, Data Marts, ODS, EDW Concepts, Data Modeling.

Databases

MySQL, MongoDB, SQL, NoSQL, Database Management.

Programming

Python, JavaScript, SQL Scripting.

Tools & Automation

Docker, Git, Excel, Google Sheets, PLX Dashboard, Power BI, n8n (Workflow Automation), AI-driven Automation (Chatbots, RAG Applications), Jira.

Data Analysis & Visualization

Interactive Dashboards, Data Reporting, Google SQL, Data Visualization.

Data Governance

Data Security, Access Control, Data Archival, Data Quality, Performance Tuning.

Projects

Scalable ETL Pipeline with Spark, Kafka & Azure (Medallion Architecture)

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Summary

Designed and developed a comprehensive cloud-based ETL pipeline leveraging Medallion Architecture to process structured and streaming data for migration and integration, ensuring robust data management and security.