Ankit Shukla

Specialist in big-data and streaming platforms: Ankit has substantial hands‑on experience building and operating large-scale analytics and streaming solutions (Trino/Presto, Apache Druid, Kafka, Spark/EMR). His public repositories and workshops (Hortonworks demo, Analytics-on-AWS) and client-facing big-data architect roles at Xebia demonstrate a strong practical focus on ingestion, processing and query layers for petabyte-scale analytics. github+2

Transitioned to AWS as a solutions architect focused on analytics: Since mid‑2022 he appears to be serving as a Solutions Architect at AWS working on analytics and streaming workloads; he has co‑authored AWS blog content that explains real customer migrations and performance tuning (e.g., Zomato migration to Graviton). amazon+1

Maintains an active technical footprint (GitHub, Kaggle) and shares reproducible labs/workshops: multiple public repositories and a Kaggle presence show he documents hands-on labs and example pipelines, indicating a practitioner who builds teaching materials and reproducible demos for analytics on the cloud. github+1

Public professional footprint corroborated by aggregator and contact profiles: Multiple professional aggregators (Weekday, SignalHire, RocketReach) and the GitHub account converge on the same employment history (Impetus → Nagarro → Xebia → AWS) and education (Krishna Institute), increasing confidence in the employment timeline and current role. weekday+1