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Bhargavi Kondaveeti

Mid-level Data Engineer specializing in big data pipelines and real-time streaming

Johnson & JohnsonUniversity of North TexasDallas, TX6 Years ExperienceMid LevelWorks Remote

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Data engineer who has owned end-to-end production pipelines processing a few million records/day, using Python/Airflow/SQL/PySpark with Snowflake serving to BI (Power BI). Built resilient external web data collection systems (anti-bot, schema-change detection, backfills) and shipped versioned REST APIs for internal consumers, improving pipeline success rates to 99% through monitoring, retries, and idempotent design.

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Key Strengths

  • Owned end-to-end batch data pipelines (ingestion → DQ → transforms → serving) at multi-million records/day scale
  • Improved pipeline reliability to 99% via monitoring/alerts, retries, and idempotent design
  • Strong data quality engineering (validation rules, deduping, missing value handling, schema/format standardization)
  • Performance optimization in Snowflake/PySpark (partitioning, incremental loads, join tuning)
  • Built and operated large-scale external data collection with anti-bot strategies and robust backfill support
  • Shipped internal data APIs with caching, pagination, and versioning for backward compatibility
  • Delivered in ambiguous early-stage environments by scoping MVPs with stakeholders and iterating with observability and CI/CD

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Experience

Data EngineerJohnson & Johnson · Jan 2024 – Present
Data EngineerAmeex Technologies Private Limited · Aug 2020 – May 2022
Data EngineerPNC · Jun 2018 – Aug 2020

Education

University of North Texasmaster, Computer Science (2024)

Skills

AgileAmazon CloudWatchAmazon DynamoDBAmazon EMRAmazon RedshiftAmazon S3Amazon SQSAWS LambdaApache CassandraApache HadoopApache HiveApache KafkaApache SparkCI/CDContainerization

Languages

English

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Typically responds within 24 hours

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Bhargavi KondaveetiMid-level Data Engineer specializing in big data pipelines and real-time streaming