Phaneendhra K

About Phaneendhra K

I have over 11 years of experience as a Big Data and Cloud Data Engineer, building scalable, high-performance data platforms across Manufacturing, Insurance, Finance, telecom, and e-commerce. My expertise includes designing data architectures, developing end-to-end ETL pipelines, and implementing real-time analytics using modern cloud ecosystems and distributed frameworks.I’m currently at Honeywell as a Senior Big Data Engineer, developing real-time, data-driven supply chain and inventory management systems using Apache Kafka, Azure Data Factory, Databricks, and Synapse Analytics. I build large-scale streaming and batch pipelines, optimize Spark transformations, and deliver Power BI dashboards for global operational insights.Previously, at Allstate, I designed cloud-native fraud detection systems using AWS Glue, Kafka, and SageMaker, enabling real-time ingestion and predictive analytics. At Wells Fargo, I worked on GCP-based financial platforms with Dataflow, BigQuery, Pub/Sub, and Cloud Functions, automating infrastructure with Terraform and reducing query latency by 40%.At AT & T, I specialized in telecommunications data integration, migration, and analytics using Azure Data Factory, Talend, and Databricks, building scalable ETL pipelines and dashboards for telecom operations. My career began at MakeMyTrip, integrating travel and booking data with Redshift and delivering analytical dashboards.My toolkit includes Apache Spark, Kafka, Airflow, Databricks, AWS, Azure, GCP, Power BI, Tableau, Python, Scala, SQL, and data modeling. I’m passionate about building resilient, insight-driven systems that empower real-time business decisions.Let’s connect if you’re looking for a results-oriented Senior Data Engineer who can drive innovation across modern data ecosystems.

Experience

1. Sr Big Data Engineer

   Honeywell Technologies

   Aug 2024 — Present · Charlotte, NC, US

   At Honeywell, as a Senior Big Data Engineer, I design and implement scalable, cloud-based data platforms that power real-time analytics and supply chain optimization across global operations. I’ve built a real-time inventory management system using Apache Kafka, enabling instant stock updates and improved operational visibility.I develop batch and streaming data pipelines using Azure Data Factory (ADF) and Databricks, automating data ingestion from on-prem and cloud systems into Azure Data Lake Storage (ADLS). I’ve implemented PySpark-based ETL frameworks and Spark SQL optimizations that significantly reduced processing time and improved query performance.I design and manage data warehouses in Azure Synapse and Snowflake, creating star and snowflake schemas to accelerate analytics and business reporting. I’ve built serverless workflows with Azure Functions to automate key business processes and lower infrastructure costs while improving scalability.My work also includes developing Power BI dashboards for real-time KPI tracking, integrating CI/CD pipelines, and ensuring data governance through Azure Key Vault and audit logging. By combining automation, data modeling, and distributed processing, I’ve helped Honeywell improve forecasting accuracy, reduce logistics costs, and enhance decision-making across manufacturing and supply chain operations.

Education

• Vaagdevi College of Engineering

  Bachelor's degree, Computer Science