Sayali Narsale
@sayalinarsale
Senior Software Engineer at Capgemini
Pune
Highly motivated and results-oriented Big Data Engineer with 3 years of experience in designing, developing, and maintaining scalable data solutions using Hadoop, Hive-SQL, Data Warehouse, PySpark, Teradata, Snowlake, Python, and Kafka. Possesses a strong understanding of data structures, SQL concepts, and complex SQL scripting with expertise in building and optimizing data pipelines for high-volume data processing. Proven ability to collaborate effectively with cross-functional teams to deliver innovative solutions and ensure high customer satisfaction.
Experience
Senior Software Engineer
Capgemini
Designed and implemented scalable data storage solutions using Hadoop and Hive-SQL databases. Developed and maintained big data processing pipelines using Hadoop, hive, and Apache PySpark. Distributed data downstream using platforms such as Hadoop, Snowflake, and Teradata. Wrote and tested data processing scripts using Python. Utilized automation tools like Autosys, TWS (job scheduler), TCM, and batch monitoring tools for more than 50 jobs. Used UNIX shell scripts for validations and generic file-watcher scripts. Collaborated with business stakeholders to understand data requirements and identify opportunities for data-driven decision-making. Migrated tables from the hive to Snowflake at table level, and base objects containing data in TBs of data from Hadoop Data Lake to on-premise Teradata. Monitored performance and optimized big data systems. Documented and communicated technical designs, solutions, and best practices and mentored junior team members.
Education
Dr.Vikhe Patil College of Engineering
Bachelor Of Engineering
Electrical
Licenses & Certifications
Coursera Certified Data Analysis Using PySpark
Coursera
Coursera Certified Big Data with Spark and Hadoop
Coursera
Hackerrank Certified in SQL & Python
Hackerrank