Saladi Harika
Data Engineer | AWS, PySpark, Snowflake, Spark, Scala ETL & Data Pipeline | Big Data, SQL, Data Analysis, Data Warehousing, DevOps, CI/CD, Machine Learning
- Role
- Data Engineer at HCLTech
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
Experience
Data Engineer
Jan 2025 — Present · US
Data Engineer | HCL Tech | USA | Jan 2025 – PresentAs a Data Engineer, I design and deliver scalable cloud-based data solutions enabling advanced analytics, BI reporting, and machine learning initiatives.Key Responsibilities:Design and implement ETL pipelines using PySpark, AWS Glue, and Apache Airflow for automated data ingestion, transformation, and integration.Build and maintain AWS S3 data lakes with partitioning, compression, and lifecycle policies to optimize cost and query performance.Develop dimensional data models (Star/Snowflake schemas) and materialized views in Snowflake to support analytics and reporting.Integrate real-time streaming pipelines with Kafka, Kinesis, and Redshift, enabling event-driven processing and instant KPI tracking.Create data quality frameworks in Python & AWS Lambda, ensuring schema validation, data accuracy, and compliance with governance standards.Implement CI/CD pipelines (Jenkins, Git) for ETL jobs, SQL scripts, and Airflow DAGs to enable automated, zero-downtime deployments.Collaborate with data science teams to design feature engineering pipelines for ML models, improving prediction accuracy.Ensure data governance & compliance (GDPR, HIPAA) with encryption, access controls, and audit readiness.Deliver interactive BI dashboards (Power BI, Tableau) directly connected to Snowflake, improving business decision-making speed.Work in an Agile/Scrum environment, leading sprint planning, backlog grooming, and daily stand-ups.
Education
Sphoorthy Engineering College
Bachelor of Technology - BTech, Electrical, Electronic and Communications Engineering Technology/Technician
Auburn University at Montgomery
Master's degree, Computer Science
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