- Montgomery Street, San Francisco, CA 94105
- (555) 432-1000
- resumesample@example.com
- Date of Birth:
- India:
- single:
· Over 7 Years of experience in Data Engineering, Data Integration, Data Analytics, and Software development leveraging latest cloud and on-prem technologies.
· Worked on creating big data ecosystems and data lake for structured and semi-structured data using various open-source technologies addressing business needs.
· Extensive experience with SQL and other relational databases, highly involved with query optimization and query pruning.
· Worked on different projects involved with real time data, web scrapping, Images, Pdfs and helped data mining efforts across the organization using tech...
· Involved in creating Data warehouses supporting operational analytics needs of organization and helping them create executive level reports and dashboards.
· Working knowledge in developing scalable Spark applications using Spark Core, Data frames, Spark-SQL, PySpark, Python, Spark Streaming/Kafka and orchestrating using apache airflow.
· End to end Orchestration of data pipelines and code releases using GIT for CI/CD.
· Expertise in performing root cause analysis understanding business processes/requirements with strong analytical skills.
· Worked independently or as a team player successfully lead and delivered data management projects.
· Hadoop Stack · Python, SQL, Apache Spark · Google Cloud Platform (Google Cloud Storage, Google Compute, Google SQL Instance, BigQuery) | · Microsoft Azure (Azure Data Factory, Azure Databricks, Azure Synapse) · Databases: IBM Netezza, Teradata, SQL Server, MySQL, PostgreSQL, CosmosDB |
University Of Houston Clear Lake - Houston, TX,
Jawaharlal Nehru Technological University - Hyderabad, IN,
- Azure Fundamentals. (AZ-900)
- Azure Data Fundamentals.
- Google Cloud Fundamentals.
- Data Management for Clinical Research.
- Using Databases with Python.
Ascension Health – Mount Prospect, IL,
- Involved in Design, Analysis, Implementation, Testing, and Support of complete Data Engineering.
- As part of the Big Data team, ensured data integration (ETL/ELT), data integrity and data quality.
- Extracted the EHR (epic) data from SQL server to data staging area using BCP.
- Extensive experience writing complex SQL, Shell, and Python scripts for data transformation and data modeling.
- Worked on writing python scripts to parse semi-structured data like XML.
- Increased daily pipeline performance by 90% tuning SQL scripts.
- Worked on Multiple Phenotyping projects using SQL, Stored procedures, triggers.
- Led a project on setting up Clamp NLP pipeline in GCP for researchers to extract medical concepts from EHR data used Google Compute, Big Query, Google SQL Instance, Google storage)
- Working on Migrating ETL Pipelines to Azure using Azure data factory and Azure Databricks.
- Heavily used Jupyter notebooks to analyze data.
- Data extraction from APIs with Python.
- Data Visualization using Apache Superset and Power BI.
- Responsible for the creation of documents from source fields to destination fields mapping.
Sears Holdings – City, STATE,
- Created data pipeline to migrate data from OLTP databases to Hadoop and Google Cloud.
- Ingested data from Teradata to HDFS using Sqoop and BTEQ.
- Used Hive for data transformation and created partitioned tables in Hive.
- Performance tuning for Hive and Pig scripts.
- Worked with Google data flow to get data from different sources and loaded into BigQuery and created tableau dashboards.
- Analyzed costs incurred by bigquery and optimized the queries for cost savings on bigquery.
- Worked on Comparing the performance between Hive and Google BigQuery.
Software Technology Labs – City, STATE,
- Worked on a project Involved in migrating from MySQL to Hadoop (HDFS) using Sqoop utility.
- Developed MapReduce jobs for data cleansing and preprocessing.
- Created Hive tables for performance optimization using bucketing & partitioning.
- Managed and reviewed Hadoop log files.
- Developed HiveQL scripts for processing data from raw to staging tables and to store the redefined data into partitioned tables for curation and consumption.
- Involved in documentation of functional and technical requirements specification
Peoples IT – City, STATE,
- Gathering business report requirements and modeled database objects, including tables, views and materialized views using SQL.
- Achieved data integrity after extraction of data from multiple sources by manipulating, also ensured data quality by various validation checks.
- Developed test data and created testing scenarios for end to end testing life cycle.
- Developed database objects, including tables, views and materialized views using SQL.
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School Attended
- University Of Houston Clear Lake
- Jawaharlal Nehru Technological University
Job Titles Held:
- Big Data Application Developer
- Hadoop Data Engineer
- Hadoop Developer Intern
- Data Analyst
Degrees
- Master of Science
- Bachelor of Science
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