03. Data Engineering & Data Infrastructure
Databricks
Snowflake
Elasticsearch
Hugging FaceCurating web-scale datasets, synthetic generation engines, enterprise data governance, and high-performance retrieval indexing.
3.1 Data Acquisition, Processing & Governance
Batch/stream ingestion, Lakehouse architecture (Iceberg/Delta), dbt modeling, metadata lineage, data contracts, and PII privacy governance.
Lakehouse Batch/Stream Ingestion Pipelines
High-throughput streaming/batch processing via Spark/Flink, Delta Lake/Iceberg/Hudi lakehouse formats, dbt SQL transformations, schema evolution, and multimodal OCR/PDF ingestion.
DatabricksSnowflakeData Governance, Lineage Tracking & Privacy Compliance
Enterprise data catalogs, column-level lineage tracking, Data Contracts, automated PII redaction/masking, consent compliance, and dataset version snapshotting.
DatabricksSnowflake3.2 Training Data, Annotation & Synthetic Data
TB/PB-scale pretraining curation, MinHash LSH deduplication, benchmark decontamination, human-in-the-loop annotation, and verifiable synthetic data engines.
PB-Scale Pre-training Curation & Decontamination
MinHash/LSH fuzzy deduplication, FastText quality/language scoring, HTML boilerplate removal, benchmark decontamination (preventing test set leakage), and multimodal pair filtering.
Hugging FaceSynthetic Data Engines, Sandbox Verification & Provenance
Teacher-model Evol-Instruct evolutionary scaling, code execution sandbox validation, rejection sampling, human-in-the-loop QA gates, and data provenance/licensing tracking.
3.3 Retrieval, Search & Vector Index Infrastructure
Inverted indexing, BM25 lexical search, HNSW/IVF-PQ vector engines, hybrid search (dense+sparse), index freshness, and ACL-aware retrieval infrastructure.
Inverted Index, BM25 & Enterprise Search Engines
Distributed inverted indices in Elasticsearch/OpenSearch, BM25 scoring, tokenization, sharding, query understanding, ACL security filtering, and offline relevance evaluation (nDCG/MRR).
ElasticsearchVector DB & High-Dimensional HNSW / IVF Indexing
HNSW graph indexing & heuristic pruning, IVF-PQ product quantization, SIMD/GPU distance acceleration, hybrid scalar-vector filtering, and millisecond index freshness.