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Misael Saul Leija Bautista

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Jalisco, Mexico

Contact Misael regarding: 
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Starting at USD2K/month

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Résumé


Jobs verified_user 0% verified
  • Restaurant365
    Senior Data / Pipeline Engineer – AI Data
    Restaurant365
    Apr 2020 - Oct 2025 (5 years 7 months)
    Ingestion & Parquet Architecture. Core Business ObjectiveBuild foundational AI-powered data pipelines supporting large-scale product analytics and predictive modeling across multi-tenant enterprise SaaS clients. Key Responsibilities & ImpactArchitected multi-step Python 3.11 data pipelines ingesting data from REST APIs, RSS feeds, and external SaaS platforms with pagination, rate limiting, retry logic, exponential backoff, and incremental pulls.Designed Parquet datasets using PyArrow and Apache Arrow (no pandas) with strict schema enforcement and schema evolution strategy.Implemented JSON and JSONL intermediate formats for pipeline staging and fault isolation.Built async processing pools using asyncio for parallel API ingestion and LLM API
  • Lumeris
    Data Engineer – Structured Data Pipelines & API Integrations
    Lumeris
    Nov 2017 - Mar 2020 (2 years 5 months)
    Core Business ObjectiveBuild scalable data ingestion pipelines for regulated healthcare analytics systems integrating structured and semi-structured data sources.Key Responsibilities & ImpactBuilt Python-based ETL pipelines integrating REST APIs and secure healthcare feeds.Implemented pagination and rate limit handling for large API-based ingestion.Designed relational schema models and normalization workflows.Developed JSON-to-structured transformation pipelines.Implemented batch data processing jobs on AWS EC2.Built S3-based structured storage system for downstream analytics.Developed schema evolution process for evolving clinical datasets.Built structured logging for data validation failures.Implemented SQL-based transformation layers for
  • Thomson Reuters
    Data Engineer – Financial Data Processing Systems
    Thomson Reuters
    Aug 2014 - Oct 2017 (3 years 3 months)
    Core Business ObjectiveSupport large-scale financial transaction ingestion and reporting pipelines for regulatory analytics. Key Responsibilities & ImpactDeveloped Python-based ETL scripts for structured financial data.Built cron-based ingestion scheduling systems.Designed PostgreSQL schema for transactional data.Implemented JSON parsing and structured transformation workflows.Developed data validation logic.Built CSV-to-database ingestion scripts.Performed SQL performance tuning.Contributed to early AWS S3 storage adoption (2016–2017).Built batch-processing systems for nightly reporting.Assisted in building structured metadata documentation.Improved reporting efficiency by 25%.Participated in Git-based development workflows.Developed reusa
Education verified_user 0% verified
  • The University of Texas at Austin
    Bachelor of Science in Computer Science
    The University of Texas at Austin
    Aug 2010 - May 2014 (3 years 10 months)
    Austin, TX