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Professional Portfolio & Engineering ExcellenceProfessional Portfolio & Engineering ExcellenceProfessional Portfolio & Engineering ExcellenceMicroservices Architecture

Enterprise Microservices ArchitectureCloud Solutions Expert

๐Ÿข Enterprise-scale microservices platform at Walmart Global Tech
๐Ÿ“ˆ Key Impact: Handling 10M+ daily transactions with 99.9% uptime
๐Ÿ› ๏ธ Tech Stack: Java 17, Spring Boot 3.x, Apache Kafka, Docker, Kubernetes
โ˜๏ธ Cloud: GCP & Azure integration with serverless functions
๐Ÿ“Š 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

๐Ÿ“Š Real-time analytics platform processing petabytes of data
๐Ÿ”ฅ Key Impact: 60% faster query performance, real-time dashboard insights
๐Ÿ› ๏ธ Tech Stack: Apache Spark, Apache Kafka, Elasticsearch, MongoDB, Redis
โ˜๏ธ Cloud: GCP BigQuery, Azure Data Lake, streaming analytics
๐Ÿ“Š 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

๐Ÿ  High-availability distributed architecture for global operations
๐Ÿ”„ Key Impact: 99.9% uptime across multi-region deployments
๐Ÿ› ๏ธ Tech Stack: Node.js, Spring Cloud, Consul, Istio Service Mesh
โ˜๏ธ Database: Cosmos DB, PostgreSQL, Redis distributed caching
๐Ÿ“ˆ 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

๐Ÿ”„ End-to-end data pipeline architecture for enterprise analytics
๐Ÿ“Š Key Impact: Processing 500TB+ daily data, 75% faster ETL pipelines
๐Ÿ› ๏ธ Tech Stack: Apache Airflow, Apache NiFi, Python, Scala, dbt
โ˜๏ธ Cloud: AWS S3, Azure Data Factory, Google Cloud Dataflow
๐Ÿ† 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

โ€œAnkit 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 Platformโ€œAnkit 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 Platformโ€Ankit’s insights on microservices transformed our approach to scalable architecture and cloud solutions.โ€

โ€His expertise in big data and distributed systems greatly enhanced our project outcomes.โ€

โ€Working with Ankit has been a game-changer; his knowledge and real-world experiences are invaluable for any tech professional.โ€

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AnkitTechWrites

ยฉ 2024