Mohith Behata

About Mohith Behata

Data & Cloud Solutions Engineer specializing in building scalable, enterprise-grade data platforms that transform raw information into actionable insights. With expertise spanning Azure, AWS, Snowflake, and Databricks ecosystems, I architect and deliver end-to-end data pipelines that power business intelligence, analytics, and machine learning initiatives.My technical foundation bridges traditional data warehousing with modern cloud-native solutions. I\'ve designed data lakehouses processing millions of records daily, implemented real-time streaming analytics handling IoT telemetry, and migrated complex legacy systems to cloud platforms while maintaining zero downtime and data integrity.What I bring to the table:Building production-grade ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), and AirflowArchitecting dimensional models, data marts, and lakehouse solutions optimized for BI and analyticsImplementing real-time streaming with Kafka, Azure Stream Analytics, and Event HubsEnsuring data quality, governance, and compliance (HIPAA, GDPR) across enterprise systemsDriving cloud migrations from on-premises and AWS to Azure with minimal business disruptionI thrive at the intersection of engineering rigor and business value—translating complex requirements into reliable technical solutions that scale. Whether optimizing query performance, automating workflows with CI/CD, or collaborating with stakeholders to define data strategies, I\'m committed to delivering systems that are robust, maintainable, and aligned with organizational goals.Did Master\'s in Computer Science at Missouri University of Science & Technology while applying cutting-edge data engineering practices in the financial services sector.Let\'s connect if you\'re passionate about data architecture, cloud engineering, or building the data foundations that drive tomorrow\'s innovations.

Experience

1. Data Engineer

   CitiusTech

   Apr 2024 — Present · US

   Architected end-to-end ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics, processing structured and semi-structured data from on-premises and cloud sourcesDeveloped RESTful APIs with FastAPI and SQLAlchemy, implementing JWT authentication and role-based access control for secure microservices architectureBuilt robust data ingestion frameworks for Excel/CSV files with schema validation, data type normalization, and quality checks, publishing clean datasets to curated zonesOptimized Azure Synapse query performance using distribution strategies, materialized views, and partitioning, reducing processing times and costsImplemented real-time analytics using Azure Data Explorer (KQL) and Azure Stream Analytics for IoT telemetry monitoring and operational insightsDesigned dimensional models with SCDs and conformed dimensions, collaborating with stakeholders to meet evolving analytical requirementsCreated data quality validation layers using Azure Functions and Databricks to enforce business rules and handle inconsistent dataDeveloped Power BI dashboards for business KPIs and pipeline monitoring, enabling real-time decision-makingEnforced security best practices including Azure RBAC, Key Vault encryption, data masking, and network controls for compliance

Education

• Missouri University of Science and Technology

  Master's degree

• Sreenidhi Institute of Science and Technology

  Bachelor of Technology - BTech