Anshika Goyal

About Anshika Goyal

I build real-time data and AI systems that enterprises actually run in production.Around 5 years across AWS and Confluent, managing $3-5M+ ARR portfolios, designing streaming architectures, and solving problems that most teams escalate for weeks. I\'ve led Kafka migrations for global life-sciences manufacturers, redesigned ingestion pipelines for consumer-appliance enterprises, and built chargeback models that gave large clients full visibility into their cloud spend for the first time.Core stack: Apache Kafka, Confluent Cloud, Apache Flink, ksqlDB, Schema Registry, AWS MSK, Kinesis, OpenSearch, Elasticsearch, Spark, Lambda, Redshift.Actively deepening expertise in: Apache Spark, Databricks Lakehouse architecture, Delta Lake, Snowflake Data Cloud, and applied AI including Agentic AI, MCP (Model Context Protocol), LLM integration, and RAG pipelines. I\'m building hands-on projects at the intersection of real-time streaming and AI, because that\'s where the next generation of data platforms is going and I want to be ahead of it, not catching up.Certifications earned: AWS Solutions Architect Associate, AWS Gen AI Practitioner, Confluent Certified Administrator (CCAAK), Confluent Certified Developer (CCDAK), Confluent Cloud Operator, Confluent DSE Foundations, Confluent Flink Foundations, AWS MSK SME, AWS OpenSearch SME.What makes me different: I\'ve worked both sides of hard technical problems, L3 AWS support doing deep cluster debugging and pipeline tuning, and advisory consulting doing executive roadmaps, architecture reviews, and THS assessments with enterprise customers. I speak engineering and I speak business.If you\'re hiring Solutions Engineers or Solutions Architects who can go deep on data streaming, Spark and Lakehouse platforms, cloud infrastructure, or applied AI, I\'d love to connect.Solutions Architecture, Solutions Engineering, Apache Kafka, Confluent Cloud, Apache Flink, Apache Spark, Databricks, Delta Lake, Snowflake, AWS MSK, Amazon Kinesis, OpenSearch, ML Feature Stores, GenAI, RAG, LLMs, Agentic AI, MCP, HashiCorp Terraform, Cloud Infrastructure, Pre/Post-Sales Engineering, Enterprise Data Platforms, Real-Time Pipelines, AI Infrastructure.

Experience

1. Advisory Solutions Consultant (Data in Motion & Ai)

   Confluent

   Nov 2025 — Present · Hyderabad, IN

   Technical field expert in distributed, durable, hybrid and cloud-native solutions across retail, life sciences and aviation sectors managing $3–5M+ ARR across 10+ global enterprise accountsPre/Post Sales technical solutions engineer owning full customer lifecycle from architecture discovery, technical demos, proof-of-concept builds, tech talks to production deployment and expansionArchitect real-time event streaming and AI pipelines on Confluent Cloud using Apache Kafka, Apache Flink, ksqlDB and Schema Registry for ML feature stores, BI analytics and GenAI workloadsDeep hands-on expertise across AWS, Azure and GCP networking, VPC design, hybrid cloud connectivity, microservices architecture, data governance, schema management and eventing and streaming technologiesDeliver strategic architecture presentations and executive briefings to C-suite and business leaders, translating distributed systems complexity into business outcomes and technical roadmapsLed on-prem Kafka to Confluent Cloud migration for global life sciences manufacturer, resolving connector compatibility failures and unblocking production workloads via phased cutover planExecute Technical Health Score (THS) assessments across deployment, observability and security converting remediation findings into prioritized roadmaps for business-critical AI and streaming use casesDrive cluster right-sizing and eCKU tuning delivering five-figure annual cloud cost savings while maintaining enterprise SLA compliance across dedicated multi-tenant environmentsDesigned chargeback and showback models for multi-tenant Confluent Cloud environments enabling granular cost attribution across business units using Confluent Cloud APIs and billing metricsResolved complex ingestion failures for global consumer appliances firm by redesigning REST pipelines with schema-aware patterns enabling hardened production flows and full topic-level validation

Education

• DAV Centenary Public School Haridwar

  Class 12, PCM

• Maharaja Surajmal Institute Of Technology

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

• DAV Centenary Public School Haridwar

  Secondary School Examination, Class 10