Anshika Goyal — Associate Consultant
Results-driven Cloud-Native Solutions Specialist specializing in Distributed Systems and Real-Time Data Streaming Architectures. Deep hands-on experience at Amazon Web Services in architecting, optimizing, and providing expert-level guidance on the Modern Data Stack. My focus is on Event-Driven Architecture (EDA), leveraging Apache Kafka (MSK), Kinesis, and large-scale data processing to build and troubleshoot enterprise-grade streaming solutions. Strategic Impact & Cloud Economics: I have a proven track record in solutions architecture, achieving 50% data throughput improvements and driving 20% reduction in operational costs for high-profile customers through deep-dive architecture reviews and Cloud Optimization best practices. Technical Expertise: I am an OpenSearch/Elasticsearch Architecture expert, specializing in building scalable data pipelines and optimizing search clusters, which directly enhances Observability and Site Reliability Engineering (SRE). Supporting Fortune 500 customers with complex data integration challenges. Demonstrated ability to dive deep into performance bottlenecks, having engineered solutions that reduced resolution time by 30% for mission-critical streaming workflows. Next-Gen Focus (Aspirational/Growth): I am passionate about advancing into the wider Data Lakehouse ecosystem and MLOps Infrastructure. I am an AWS Certified AI Practitioner and a technical author, actively seeking roles where I can transition my deep streaming and analytics expertise into Senior Solutions Architecture roles at high-growth platforms like Confluent, Databricks, and Snowflake. Published technical author with expertise spanning modern data stack including real-time analytics, serverless architectures, and cloud-native technologies. Passionate about distributed systems, streaming architectures, and building next-generation data platforms that solve complex engineering challenges at scale.
Stackforce AI infers this person is a Cloud-Native Solutions Specialist with expertise in Distributed Systems and Real-Time Data Streaming.
Location: Hyderabad, Telangana, India
Experience: 3 yrs 10 mos
Skills
- Cloud-native Data Streaming & Multi-cloud
- Event-driven Architecture (eda) & Apache Kafka
Career Highlights
- Achieved 50% data throughput improvements.
- Drove 20% reduction in operational costs.
- Expert in building scalable data pipelines.
Work Experience
Confluent
Advisory Solutions Consultant (5 mos)
Amazon Web Services (AWS)
Cloud Engineer II (1 mo)
Cloud Engineer I (2 yrs)
Cloud Engineer (1 yr 5 mos)
ZS
Business Operations Associate (3 mos)
Education
Bachelor of Technology - BTech at Maharaja Surajmal Institute Of Technology
Class 12 at DAV Centenary Public School Haridwar
Secondary School Examination at DAV Centenary Public School Haridwar