Home

Sindhu Ravuru - Senior Data Engineer

[email protected]

Location: Alden, Iowa, USA

Relocation: Open (515-605-7328)

Visa: H4EAD

Resume file: Sindhu DE_1772566307281.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

9+ years of expertise in data engineering and data science, with a focus on developing scalable end-to-end ETL/ELT pipelines that include data collecting, ingestion, transformation, modeling, integration, and analytics for structured and unstructured data sources. Extensive hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, Spark, Scala, Hive, Pig, Sqoop, Flume, Oozie, Impala, HBase, YARN) and real-time data streaming with Kafka, Storm, and Spark Streaming Extensive expertise creating secure and scalable cloud-native data systems using AWS (EC2, S3, EMR, RDS, Redshift, Glue, Lambda, IAM, CloudWatch, SQS, SNS), Azure (ADF, Data Lake, Databricks), and GCP (Compute Engine, Cloud Storage, Cloud SQL) technologies. Experience developing batch and real-time data pipelines in PySpark, Spark SQL, Scala, and Python, as well as orchestrating processes in Airflow, NiFi, AWS Step Functions, and Azure Data Factory. Deep understanding of data warehousing and dimensional modeling (Star Schema, Snowflake Schema), as well as the creation of enterprise data lakes and optimized data marts for analytics and business intelligence reporting. Practical knowledge with Snowflake (SnowSQL, Snowpipe), Amazon Redshift, and performance tuning via complicated SQL queries, stored procedures, indexing, and query optimization approaches. Extensive expertise with NoSQL and RDBMS databases such as MongoDB, Cassandra, DynamoDB, MySQL, PostgreSQL, Oracle, and SQL Server, assuring data integrity, migration, and validation. Keywords: sthree