Nikhitha V
Senior Data Engineer at Visa | Multi Cloud (AWS, GCP, Azure) | Snowflake | PySpark | Databricks | Kafka | ETL | Big Data | Data Migration | Airflow | Data Pipeline | Power BI | CI/CD & DevOps
- Role
- Sr Data Engineer at Visa
- Location
- Fort Lee, NJ, US
- LinkedIn followers
- 500 followers
About Nikhitha V
8+ years of experience as a Data Engineer with strong expertise in cloud platforms including Azure (Databricks, Data Lake, HDInsight, Data Factory, Synapse, SQL DW, Azure Functions, Microsoft Fabric), AWS (S3, EC2, Lambda, EMR, Kinesis, Redshift, Glue, DynamoDB), and GCP (BigQuery, Snowflake, Delta Lake).* Skilled in designing, developing, and optimizing scalable ETL/ELT pipelines, data lakes, and analytics platforms using Informatica, Airflow, Prefect, dbt, and AI-assisted tools.* Extensive experience in real-time data processing and streaming using Apache Spark (Core, SQL, Streaming, ML, DataFrames, PySpark), Spark Structured Streaming, Apache Flink, Kafka Streaming, and AWS Kinesis, building pipelines that support high-volume, low-latency analytics.* Proficient in data warehouse and lakehouse solutions, including Snowflake, Redshift, BigQuery, Delta Lake, with strong expertise in data governance, observability, and pipeline reliability using Monte Carlo, Great Expectations, and enterprise platforms like Palantir.* Hands-on experience in Big Data ecosystems: Hadoop (HDFS, Hive, Sqoop, Pig, Flume, HBase, Oozie), real-time analytics, and integrating structured and semi-structured data (JSON, Parquet, nested formats) from SQL & NoSQL sources (Cassandra, MongoDB) for business insights.* Skilled in data analysis, visualization, and business intelligence using Python, R, SQL, Hive, Spark SQL, Power BI, Tableau, and Looker,SSIS,SSRS with expertise in low-code/no-code ETL, AI-augmented development, and emerging data architectures including Microsoft Fabric for delivering real-time insights and measurable business impact.* Expertise in Python (Pandas, PySpark), Scala, Java, SQL (CTEs, window functions, performance tuning), R, and applying advanced analytics, data cleansing, and machine learning techniques* Experience in Terraform, CloudFormation, Azure DevOps, GitHub, Docker, and CI/CD pipelines for automated, reproducible, and secure deployment of data platforms and pipelines.* Mentored junior engineers, enforced coding standards, and led code reviews to improve data pipeline reliability and maintainability.* Excellent Communication skills, Interpersonal skills, problem-solving skills, and a team player. Ability to quickly adapt to new environments and technologies.
Experience
Sr Data Engineer
Dec 2024 — Present · NY, US
Education
Velagapudi Ramakrishna Siddhartha Engineering College
Computer science and engineering
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