Professional Portfolio & Engineering ExcellenceProfessional Portfolio & Engineering ExcellenceProfessional Portfolio & Engineering ExcellenceMicroservices Architecture
Enterprise Microservices ArchitectureCloud Solutions Expert
๐ข Enterprise-scale microservices platform at Walmart Global Tech
๐ Key Impact: Handling 10M+ daily transactions with 99.9% uptime
๐ ๏ธ Tech Stack: Java 17, Spring Boot 3.x, Apache Kafka, Docker, Kubernetes
โ๏ธ Cloud: GCP & Azure integration with serverless functions
๐ Results: 40% improvement in system scalability, 60% reduction in deployment time
Developed scalable microservices using Java and Kafka, enhancing system performance and reliability. Focused on cloud integration with GCP and Azure for seamless data processing and management in distributed environments.
Big Data Insights
๐ Real-time analytics platform processing petabytes of data
๐ฅ Key Impact: 60% faster query performance, real-time dashboard insights
๐ ๏ธ Tech Stack: Apache Spark, Apache Kafka, Elasticsearch, MongoDB, Redis
โ๏ธ Cloud: GCP BigQuery, Azure Data Lake, streaming analytics
๐ Results: Enabled real-time decision making for business operations
Implemented big data solutions utilizing Spark and NoSQL databases, optimizing data storage and retrieval. Delivered insights through advanced analytics, driving informed decision-making and improving operational efficiency.
Distributed Systems Design
๐  High-availability distributed architecture for global operations
๐ Key Impact: 99.9% uptime across multi-region deployments
๐ ๏ธ Tech Stack: Node.js, Spring Cloud, Consul, Istio Service Mesh
โ๏ธ Database: Cosmos DB, PostgreSQL, Redis distributed caching
๐ Results: Support for 50+ countries, auto-scaling, fault tolerance
Engineered robust distributed systems architecture, ensuring high availability and fault tolerance. Leveraged Cosmos DB for efficient data handling, supporting real-time applications and enhancing user experience across platforms.
Data Engineering Projects
๐ End-to-end data pipeline architecture for enterprise analytics
๐ Key Impact: Processing 500TB+ daily data, 75% faster ETL pipelines
๐ ๏ธ Tech Stack: Apache Airflow, Apache NiFi, Python, Scala, dbt
โ๏ธ Cloud: AWS S3, Azure Data Factory, Google Cloud Dataflow
๐ Results: Automated data governance, ML-ready datasets, cost optimization
Executed various data engineering projects, focusing on data pipeline development and ETL processes. Utilized cloud technologies to streamline workflows, ensuring data integrity and accessibility for analytics and reporting.
Tech Gallery
Showcasing scalable architectures, cloud solutions, and data engineering insights for professionals.
Client Feedback
โAnkit transformed our entire microservices architecture. His expertise in Java Spring Boot and Kafka helped us achieve 99.9% uptime and handle 10M+ daily transactions. His deep understanding of cloud platforms made our GCP migration seamless.โ โ Tech Lead, E-commerce PlatformโAnkit transformed our entire microservices architecture. His expertise in Java Spring Boot and Kafka helped us achieve 99.9% uptime and handle 10M+ daily transactions. His deep understanding of cloud platforms made our GCP migration seamless.โ โ Tech Lead, E-commerce PlatformโAnkit’s insights on microservices transformed our approach to scalable architecture and cloud solutions.โ
โHis expertise in big data and distributed systems greatly enhanced our project outcomes.โ
โWorking with Ankit has been a game-changer; his knowledge and real-world experiences are invaluable for any tech professional.โ