Nikitha D Email & Phone Number

• Around 11 years of extensive experience as Application Developer using Oracle SQL, PL/SQL, UNIX shell which involves data analysis, design, development, implementation, integration, testing and support.• Around 3 years of experience in Snowflake, Python, Java, AWS cloud development and level 3 support.• Proficient in data modelling, query optimization, and performance tuning. Implemented Liquibase continuous delivery pipeline in collaboration with DevOps team, streamlining database code management.• Proficient in working with Oracle golden gate replication, MySQL, PostgreSQL, Greenplum, AWS RDS, IBM Websphere 8.5, and Tomcat.• Led cross functional teams in various Oracle data migrations projects.• Hands on experience in onboarding application to CI/CD pipelines.• Key contributor to data related in-house framework using Python, Snowflake, Oracle, IBM MQ, Autosys, Perl, and Shell.• Worked with AWS services like EC2 Instances, S3 bucket, Lambda Functions, RDS and SNS.• Strong understanding of XML, SOAP protocol, JSON for building and parsing API requests and responses.• Experience in application software analysis, design, development, implementation, maintenance, and documentation of enterprise applications throughout various phases of project life cycle.• Proficient in Agile methodologies and involved in all phases of the SDLC Software Development Life Cycle from analysis, design, development, testing, implementation and maintenance with timely delivery against aggressive deadlines. • Effectively communicated technical concepts to non-technical stakeholders, ensuring a shared understanding of project goals and progress.• Experience in JIRA, Git, Bit bucket. • Expertise in Oracle 19c/12c/11g/10g/9i, SQL, PL/SQL, Oracle Forms 11g/6i, Reports 11g/6i.• Programming experience as an Oracle PL/SQL Developer in Analysis, Design and Implementation of Business Applications using the Oracle Relational Database Management System and also has strong understanding of oracle database administration DBA concepts.• Experience with Data Analysis, Data flow diagrams, Data dictionary, Database normalization theory techniques, Entity relation modelling and design techniques • Expertise in Client-Server application development using Oracle 19c/12c/11g/10g/9i, PL/SQL, SQL PLUS, TOAD and SQL Loader.• Developed data mapping and data conversion scripts using SQL, PL/SQL.• Extensively used UTL_FILE package to write the data from oracle tables to a flat file.• Proficient in writing PL/SQL packages, stored procedures, functions, packages, triggers, views,

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  Senior Data Engineer

  Salesforce

  Dec 2023 - Present

  Worked with data governance team on CCPA- California consumer privacy act, GDPR - General data protection regulation projects.Worked on end to end machine learning workflow, written python code for gathering the data from AWS snowflake, data preprocessing, feature extraction, feature engineering, modeling, evaluating the model, deployment. Written python code for exploratory data analysis using Scikit-learn machine learning python packages- NumPy, Pandas, Matplotlib, Seaborn, statsmodels, pandas profiling.Trained Random forest algorithm on customer web activity data on media applications to predict the potential customers. Worked on Google TensorFlow, Keras API- convolution neural networks for classification problems.Written code for feature engineering, Principal component analysis PCA, hyperparameter tuning to improve the accuracy of the model.Worked on various machine learning algorithms like Linear regression, logistic regression, Decision trees, random forests, K- means clustering, Support vector machines, XGBoosting on client requirements.Developed machine learning models using recurrent neural networks - LSTM for time series, predictive analytics.Developed machine learning models using Google TensorFlow keras API Convolution neural networks for Classification problems, fine-tuned the model performance by adjusting the epochs, bath size, Adam optimizer.Good knowledge on image classification problems using the Keras Models for image classification with weights trained on ImageNet like VGG16, VGG19, ResNet, ResNetV2, InceptionV3. Knowledge on OpenCV for real time computer vision.Technology Stack: Python, Postgres, AWS snowflake, Alation data catalog tool, snowsql, AWS EC2, S3, AWS lambda, AWS secrets manager, AWS SQS, Adobe analytics, Linux, Scikit-learn, SciPy, NumPy, Pandas, Matplotlib, Seaborn, JIRA, GitHub, Agile/ SCRUM.