Devendra Kumar — Data Engineer

I’m a Senior Data Engineer with over 7+ years of experience in designing, developing, and optimizing end-to-end data solutions across Big Data, Cloud Platforms, and Real-Time Analytics ecosystems. With a proven track record at companies like Deloitte, IBM, TCS, and Accenture, I’ve delivered impactful, scalable data platforms that have enhanced decision-making and business performance. 🔹 AWS Expertise At Deloitte, I designed and deployed real-time and batch pipelines using AWS Glue, Redshift, EMR, and Confluent Kafka, helping modernize legacy banking systems and improving operational efficiency by 20%. I also implemented a reusable pipeline framework, reducing development time and standardizing cross-portfolio functionality. 🔹 Azure Expertise At IBM, I Led data engineering projects using Azure Databricks, building scalable ETL pipelines and improving data ingestion from sources like ServiceNow, SAP HANA, and APIs. Cut onboarding time by 40% and sped up dashboard delivery by 30% through better frameworks and Power BI solutions. Skilled in Delta Lake, PySpark, Synapse Analytics, SQL, and Azure DevOps. 🔹 Key Strengths & Achievements • ETL Pipeline Development & Optimization – Built and enhanced complex, long-running jobs using PySpark and Databricks • Cloud Migration & Architecture – Extensive experience with cloud-to-cloud and on-premise to cloud data migrations • Data Modeling & Warehousing – Designed and maintained structured data warehouses using Redshift, Synapse, and Unity Catalog • Data Quality & Cleansing – Ensured accuracy, eliminated junk data, and implemented stakeholder-driven quality checks • Cost & Performance Optimization – Diagnosed high-compute workloads and restructured pipelines for better cost control • BI Tools Evaluation – Led PoCs like Databricks evaluation to streamline platform decisions and accelerate adoption 🔹 Technical Proficiency Big Data Tools: PySpark, Databricks, Delta Lake, Kafka, Spark Structured Streaming, Airflow Cloud Platforms: Azure (ADF, Databricks, Synapse), AWS (Glue, EMR, Redshift, Lambda, S3) Programming & Data: Python, SQL, REST APIs | Oracle, PostgreSQL, SQL Server, Unity Catalog DevOps & CI/CD: GitLab, Jenkins, Azure DevOps, Docker, Terraform, JIRA, Confluence Let’s connect if you’re hiring or collaborating on cloud-native data solutions!

Stackforce AI infers this person is a Data Engineering expert specializing in cloud solutions for Fintech and SaaS industries.

Location: Bengaluru, Karnataka, India

Experience: 7 yrs 11 mos