Hire the Best Data Engineers in Hyderabad, IN

Prudent Cloud Data Engineer having 8+ year of experience in developing, maintaining and automating Data Engineering solutions using Microsoft Azure cloud technologies and, using languages like Python and R. Solving business problems end -to- end. Agentic AI LLM Models Azure DataBricks Unity Catalog Azure Delta Tables Data Modelling Microsoft Fabric Power Automate Power Apps Power BI Azure Data Factory SQL

• Azure Data Factory (ADF) • Data Bricks • Azure Synapse Analytics • Azure SQL • Power BI • Azure Data Storage, • Azure Data warehouse, • Fusion Middleware technologies (Oracle SOA, OSB and Oracle BPM) and • MuleSoft • Certified professional in Azure data Engineer (DP-203),Azure Developer,(AZ-204),Azure AI engineer, MuleSoft and Oracle SOA, OSB, and Oracle BPM. • Extensive and diverse experience in Analysis, Design, Development, Implementation, testing of different data storage, data integration Tools and technologies.

I’m a Senior Data Engineer with 9+ years of experience building scalable data platforms, automated ETL/ELT pipelines, and end-to-end analytics systems for startups to enterprise clients. I help organizations turn raw, messy data into clean, reliable, and analytics-ready datasets using modern cloud data stacks. What I Can Help You With ➤ ETL/ELT Development (Python, Airflow, AWS Glue, Talend) ➤ Cloud Data Engineering (AWS, Snowflake, Redshift, S3, Lambda) ➤ Data Warehouse Architecture & Optimization ➤ API Integrations (SaaS - Databases / Warehouses) ➤ SQL Development & Performance Tuning ➤ Dashboard/Data Model Preparation (Power BI, QuickSight, Tableau) ➤ Data Migration from CRMs/ERPs (Salesforce, HubSpot, Workday, Custom APIs) ➤ Automation of repeated data processes (Python + Cloud services) Why Clients Work With Me 🔹 Clear communication and structured delivery 🔹 Clean, audit-ready pipelines with proper logging & monitoring 🔹 Fast turnaround and long-term maintainable code 🔹 Experience across Healthcare, Finance, Retail, and SaaS domains My Recent Projects: ⭐CRM/ERP to Snowflake migration with automated Python pipelines ⭐AWS Data Platform modernization using Glue, Lambda, and Redshift ⭐Finance & Claims data processing using PySpark on AWS ⭐Custom API integrations to centralize business data ⭐Dashboard backend (SQL + models) for Power BI & QuickSight If you need ✔ Faster data pipelines ✔ A scalable cloud data architecture ✔ Clean data models for BI ✔ Help with Talend/Airflow/Snowflake ✔ A partner who delivers on time, every time I can help you. Send me a message, and let’s discuss your project.

Senior engineer, 10+ years across Go backends and streaming data systems — I build the services AND the pipelines that feed them, so you don't need two hires. Production systems, not prototypes: ~40k req/sec APIs and ~25M events/day pipelines. RECENT RESULTS • Cut API p99 latency from 640ms to 110ms on a 40k req/sec Go service by fixing N+1 queries, adding Redis caching, and tuning connection pools. • Built a Kafka + Spark pipeline processing 25M events/day into Redshift, powering near-real-time analytics dashboards. • Migrated a monolith to gRPC microservices on EKS — cut inter-service p95 latency ~55% and infra cost ~30%. BACKEND • Go (Gin/Fiber), gRPC, REST, TDD, clean architecture DATA & STREAMING • Kafka / Kafka Streams, Spark, NiFi, Airflow, Glue → Redshift / S3 CLOUD & DELIVERY • AWS (EKS/ECS/Lambda/Redshift), Terraform, Kubernetes, CI/CD The hybrid is the point: I design the API contract, the event schema, and the pipeline as one system — fewer handoffs, fewer integration bugs. Strong on correctness, tests, and observability (ELK). Send a short note about your system and the bottleneck — I'll reply with how I'd approach it and a realistic estimate. SKILLS: Golang, Apache Kafka, Microservices, Apache Spark, Airflow, gRPC, REST API, AWS, Kubernetes, ETL Pipeline, Terraform, Docker, Python, Scala, Redshift

With around 13 Years of IT experience on data driven applications.I excel in building robust data foundations for both structured and unstructured data from diverse sources. Additionally, I possess expertise in efficiently migrating data lakes and pipelines from on-premise to cloud environments. My skills include designing and developing scalable ETL/ELT pipelines using cutting-edge technologies such as Spark, kafka, Pyspark, Hadoop, Hive, DBT, Python, and leveraging cloud services like AWS, Snowflake, and DBT Cloud,Airbyte, BigQuery, Metabase and A good understanding of containerisation frameworks like Kubernetes and Docker is essential

GEN AI Consultant specializing in state-of-the-art models, data pipelines, and generative AI applications, including agentic systems like chatbots, voice bots, and RAG solutions. I have delivered AI-driven solutions for healthcare, e-commerce platforms, and network optimization, tailored to meet industry needs.