Sukanthi Mahapatro
Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 6+ years in cloud data engineering & big data analytics.
Solutions-focused Azure Data Engineer with rich experience in designing and implementing robust data platforms using Azure Data Factory (ADF), Databricks, PySpark, and Azure Data Lake. Currently Senior Data Engineer at Techroid Solutions Pvt. Ltd., supporting cross-functional teams, mentoring engineers, and delivering scalable enterprise analytics solutions for global clients including Swiss Re Insurance and Coca-Cola. ETL / ELT and Data Pipeline Specialist, skilled in architecting batch and real-time processing systems, implementing dimensional data models (Star & Snowflake Schema), and building high-performance analytics solutions. Cloud and Big Data Professional, experienced in Azure Data Lake (Gen1/Gen2), Azure SQL Database, Logic Apps, Key Vault, and Azure Monitor, ensuring secure, reliable, and production-ready architectures. Automation-Driven Engineer, proficient in developing data quality frameworks, monitoring solutions, and resilient error-handling mechanisms to enhance reliability and operational efficiency. Microsoft Certified Azure Data Engineer Associate, specializing in platform modernization, cloud transformation, and enabling advanced analytics for data-driven decision-making. Performance & Cost Optimization, skilled in tuning cloud pipelines and Databricks clusters to maximize efficiency, reduce compute costs, and accelerate data delivery for enterprise stakeholders.
samskara bharathi Degree College
B.Sc. · Mathematics, Physics & Computer Science
August 1, 2016 – June 30, 2019
Techroid Solutions Pvt.Ltd.
Senior Data Engineer
November 1, 2021 – Present
India
Bramse Labs Digital Services Pvt.Ltd.
Data Engineer
November 1, 2019 – November 1, 2021
Hyderābād, Telangana, India
Swiss-Re Insurance Data Modernization Platform
August 1, 2024 – Present
Transformed legacy data infrastructure into a cloud-native Azure ecosystem, centralizing policyholder data for real-time analytics. Engineered layered ADLS Gen2 architecture (raw, curated, enriched) and orchestrated dynamic ADF pipelines for JSON, REST API, and structured data ingestion. Implemented end-to-end monitoring, alerting, data validation, and secure credential management via Azure Logic Apps and Key Vault. Authored modular PySpark notebooks with automated dependency management; optimized Databricks clusters to reduce compute costs by 30%. Designed reusable pipeline templates, accelerating development timelines by 40%. Enabled near real-time analytics to improve business reporting.
Renaissance Consumer Data Platform (Coca-Cola)
September 1, 2023 – July 1, 2024
Consolidated disparate consumer data into a unified platform, enabling a 360° customer view and advanced analytics. Developed complex ETL workflow using Spark SQL and deployed dynamic ADF pipelines supporting multiple file types. Established full-load and incremental-load processes, incorporating automated error handling and pipeline scheduling. Increased efficiency of Spark SQL transformations. Reduced data inconsistencies through automated validation and monitoring.
Smart Policy Data System
November 1, 2021 – September 1, 2023
Built PySpark applications for JSON transformations and API integrations. Configured high-performance Databricks clusters for hybrid batch and streaming workloads. Implemented Spark SQL-driven ETL pipelines with automated monitoring to ensure operational resilience. Improved API data ingestion speed, enabling faster analytics.
5G IT Enablement Platform
November 1, 2019 – November 1, 2021
Administered enterprise-grade ADF pipelines for seamless on-premises to cloud migrations. Automated multi-format data transformations and complex workflow, improving process efficiency. Supported Agile team operations, sprint planning, and cross-functional coordination. Reduced manual intervention in ETL processes through automation.
Microsoft Certified: Azure Data Engineer Associate
Microsoft
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including work for major clients like Swiss-Re and Coca-Cola, and their involvement in various aspects of data engineering (migration, real-time analytics, cost optimization, governance) suggest a broad and adaptable skill set. Their experience in mentoring and standardizing practices aligns well with a culture that values knowledge sharing and continuous improvement. The focus on delivering scalable solutions and improving efficiency indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as systematic problem-solving, collaboration, detail-orientation, adaptability, and a mentorship-driven approach, which are crucial for a senior role. Their experience in leading initiatives, coaching junior engineers, and collaborating with stakeholders indicates a good operational fit for a senior data engineering position requiring both technical depth and team leadership.