Sasirekha Subramani

Data Engineer

Bengaluru, Karnataka, India9 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

8 years of IT experience with Big Data technologies.
Certified AWS Solutions Architect Associate.
Proficient in CI/CD processes and workflow automation.

Stackforce AI infers this person is a Big Data and Analytics specialist with experience in Telecommunication and Aerospace industries.

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Skills

Core Skills

Big DataData AnalysisAnalyticsData IntegrationData MigrationAnomaly DetectionFraud Control

Other Skills

Amazon Web Services (AWS)Apache KafkaArtificial IntelligenceCore JavaCustomer ServicesDashboard DevelopmentGoogle Cloud Platform (GCP)HBaseHadoopHiveMicrosoft ExcelMySQLOoziePhoenixScala

About

Over 8 years of IT experience with 7 years in Big Data technologies such as Hadoop, Hive, Spark, Sqoop, HBase, Oozie, and Kafka. Certified AWS Solutions Architect Associate with extensive AWS experience. Skilled in developing Spark-based data processing applications and automating workflows with Oozie and Unix shell scripting. Proficient in CI/CD processes, ensuring efficient integration and delivery. Strong communication, interpersonal, analytical, and problem-solving skills, with a proven ability to quickly learn and adapt.

Experience

Lowe's india

Data Engineer

Nov 2022 – Present · 3 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

Analyzed discount and promotion attribution across both physical stores and online platforms to identify trends and implement strategies for minimizing margin erosion while maintaining customer satisfaction.
Played a key role in enhancing enterprise order data management data at Lowe's, ensuring seamless order processing, improved data accuracy.

Data AnalysisBig DataHadoopHiveSparkOozie

Ibm

Advisory Consultant

Apr 2021 – Oct 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India

Worked as a contract employee for Lowe's, contributing to key projects and delivering results.
Analyzed discount and promotion attribution across both physical stores and online platforms to identify trends and implement strategies for minimizing margin erosion while maintaining customer satisfaction.
Played a key role in enhancing enterprise order data management systems data at Lowe's, ensuring seamless order processing, improved data accuracy.

Data AnalysisBig DataHadoopHiveSparkOozie

Hcl technologies

2 roles

Verizon Telecommunication Analytics

Oct 2019 – Mar 2021 · 1 yr 5 mos

Verizon Telecommunication Analytics-Feedback loop: The project is about to create analytic
metrics on telecommunication data. Various analytics technics carried to plot performance
metrics of customer services and feedback on tools. Need is to make an analytic chart for various
processes in telecommunication customer services.
Verizon Telecommunication Analytics-DNA analytics: The project is about creating a custom
dashboard to analyze the customer target on products. This dashboard helps to identify customer
interest in products and in turn helps the business focus on these products

Data AnalysisAnalyticsCustomer ServicesTelecommunication

Boeing Airplane Engineering Test Plan

Sep 2018 – Sep 2019 · 1 yr

Boeing Airplane Engineering Test Plan: The need is to provide test plan dashboards for testing
the engineer aircraft. Each prototype undergoes severe testing and a huge number of test
cases retrieved from different systems. All test cases stored in the Hbase No-SQL database and undergo initial data integration and migration before ingestion. Oozie schedulers jobs used to perform incremental sqoop and running map-reduce jobs to transform and load data into Hbase and publish it the same in the dashboard.

Data IntegrationData MigrationOozieHBase

Wipro

Unilever and carillion anomaly detection

Jun 2016 – Aug 2018 · 2 yrs 2 mos · Bengaluru Area, India

▪ Anomaly Detection is a platform for Fraud Control & Compliance Assurance that
leverages Artificial Intelligence to detect anomalies and helps to predict fraud
▪ Holmes Internal: Working for Wipro Internal to find anomalies in employee’s data
and other billing data like an onsite anomaly, AmEx and duplicate claims, contractor
billing
▪ Duplicate Payments: Investigating duplicate payments by comparing Historic and
daily with some criteria. creating rules for dormant vendors, one time vendors and
payment term mismatch.

Anomaly DetectionArtificial IntelligenceFraud Control